RafaelGoncalves8/machine-learning

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	<!DOCTYPE html>
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	<head><meta charset="utf-8" />

	<title>EFC2 - Linear classification and KNN</title>

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	.glyphicon-yen:before {
	content: "\00a5";
	}
	.glyphicon-jpy:before {
	content: "\00a5";
	}
	.glyphicon-ruble:before {
	content: "\20bd";
	}
	.glyphicon-rub:before {
	content: "\20bd";
	}
	.glyphicon-scale:before {
	content: "\e230";
	}
	.glyphicon-ice-lolly:before {
	content: "\e231";
	}
	.glyphicon-ice-lolly-tasted:before {
	content: "\e232";
	}
	.glyphicon-education:before {
	content: "\e233";
	}
	.glyphicon-option-horizontal:before {
	content: "\e234";
	}
	.glyphicon-option-vertical:before {
	content: "\e235";
	}
	.glyphicon-menu-hamburger:before {
	content: "\e236";
	}
	.glyphicon-modal-window:before {
	content: "\e237";
	}
	.glyphicon-oil:before {
	content: "\e238";
	}
	.glyphicon-grain:before {
	content: "\e239";
	}
	.glyphicon-sunglasses:before {
	content: "\e240";
	}
	.glyphicon-text-size:before {
	content: "\e241";
	}
	.glyphicon-text-color:before {
	content: "\e242";
	}
	.glyphicon-text-background:before {
	content: "\e243";
	}
	.glyphicon-object-align-top:before {
	content: "\e244";
	}
	.glyphicon-object-align-bottom:before {
	content: "\e245";
	}
	.glyphicon-object-align-horizontal:before {
	content: "\e246";
	}
	.glyphicon-object-align-left:before {
	content: "\e247";
	}
	.glyphicon-object-align-vertical:before {
	content: "\e248";
	}
	.glyphicon-object-align-right:before {
	content: "\e249";
	}
	.glyphicon-triangle-right:before {
	content: "\e250";
	}
	.glyphicon-triangle-left:before {
	content: "\e251";
	}
	.glyphicon-triangle-bottom:before {
	content: "\e252";
	}
	.glyphicon-triangle-top:before {
	content: "\e253";
	}
	.glyphicon-console:before {
	content: "\e254";
	}
	.glyphicon-superscript:before {
	content: "\e255";
	}
	.glyphicon-subscript:before {
	content: "\e256";
	}
	.glyphicon-menu-left:before {
	content: "\e257";
	}
	.glyphicon-menu-right:before {
	content: "\e258";
	}
	.glyphicon-menu-down:before {
	content: "\e259";
	}
	.glyphicon-menu-up:before {
	content: "\e260";
	}
	* {
	-webkit-box-sizing: border-box;
	-moz-box-sizing: border-box;
	box-sizing: border-box;
	}
	*:before,
	*:after {
	-webkit-box-sizing: border-box;
	-moz-box-sizing: border-box;
	box-sizing: border-box;
	}
	html {
	font-size: 10px;
	-webkit-tap-highlight-color: rgba(0, 0, 0, 0);
	}
	body {
	font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
	font-size: 13px;
	line-height: 1.42857143;
	color: #000;
	background-color: #fff;
	}
	input,
	button,
	select,
	textarea {
	font-family: inherit;
	font-size: inherit;
	line-height: inherit;
	}
	a {
	color: #337ab7;
	text-decoration: none;
	}
	a:hover,
	a:focus {
	color: #23527c;
	text-decoration: underline;
	}
	a:focus {
	outline: 5px auto -webkit-focus-ring-color;
	outline-offset: -2px;
	}
	figure {
	margin: 0;
	}
	img {
	vertical-align: middle;
	}
	.img-responsive,
	.thumbnail > img,
	.thumbnail a > img,
	.carousel-inner > .item > img,
	.carousel-inner > .item > a > img {
	display: block;
	max-width: 100%;
	height: auto;
	}
	.img-rounded {
	border-radius: 3px;
	}
	.img-thumbnail {
	padding: 4px;
	line-height: 1.42857143;
	background-color: #fff;
	border: 1px solid #ddd;
	border-radius: 2px;
	-webkit-transition: all 0.2s ease-in-out;
	-o-transition: all 0.2s ease-in-out;
	transition: all 0.2s ease-in-out;
	display: inline-block;
	max-width: 100%;
	height: auto;
	}
	.img-circle {
	border-radius: 50%;
	}
	hr {
	margin-top: 18px;
	margin-bottom: 18px;
	border: 0;
	border-top: 1px solid #eeeeee;
	}
	.sr-only {
	position: absolute;
	width: 1px;
	height: 1px;
	margin: -1px;
	padding: 0;
	overflow: hidden;
	clip: rect(0, 0, 0, 0);
	border: 0;
	}
	.sr-only-focusable:active,
	.sr-only-focusable:focus {
	position: static;
	width: auto;
	height: auto;
	margin: 0;
	overflow: visible;
	clip: auto;
	}
	[role="button"] {
	cursor: pointer;
	}
	h1,
	h2,
	h3,
	h4,
	h5,
	h6,
	.h1,
	.h2,
	.h3,
	.h4,
	.h5,
	.h6 {
	font-family: inherit;
	font-weight: 500;
	line-height: 1.1;
	color: inherit;
	}
	h1 small,
	h2 small,
	h3 small,
	h4 small,
	h5 small,
	h6 small,
	.h1 small,
	.h2 small,
	.h3 small,
	.h4 small,
	.h5 small,
	.h6 small,
	h1 .small,
	h2 .small,
	h3 .small,
	h4 .small,
	h5 .small,
	h6 .small,
	.h1 .small,
	.h2 .small,
	.h3 .small,
	.h4 .small,
	.h5 .small,
	.h6 .small {
	font-weight: normal;
	line-height: 1;
	color: #777777;
	}
	h1,
	.h1,
	h2,
	.h2,
	h3,
	.h3 {
	margin-top: 18px;
	margin-bottom: 9px;
	}
	h1 small,
	.h1 small,
	h2 small,
	.h2 small,
	h3 small,
	.h3 small,
	h1 .small,
	.h1 .small,
	h2 .small,
	.h2 .small,
	h3 .small,
	.h3 .small {
	font-size: 65%;
	}
	h4,
	.h4,
	h5,
	.h5,
	h6,
	.h6 {
	margin-top: 9px;
	margin-bottom: 9px;
	}
	h4 small,
	.h4 small,
	h5 small,
	.h5 small,
	h6 small,
	.h6 small,
	h4 .small,
	.h4 .small,
	h5 .small,
	.h5 .small,
	h6 .small,
	.h6 .small {
	font-size: 75%;
	}
	h1,
	.h1 {
	font-size: 33px;
	}
	h2,
	.h2 {
	font-size: 27px;
	}
	h3,
	.h3 {
	font-size: 23px;
	}
	h4,
	.h4 {
	font-size: 17px;
	}
	h5,
	.h5 {
	font-size: 13px;
	}
	h6,
	.h6 {
	font-size: 12px;
	}
	p {
	margin: 0 0 9px;
	}
	.lead {
	margin-bottom: 18px;
	font-size: 14px;
	font-weight: 300;
	line-height: 1.4;
	}
	@media (min-width: 768px) {
	.lead {
	font-size: 19.5px;
	}
	}
	small,
	.small {
	font-size: 92%;
	}
	mark,
	.mark {
	background-color: #fcf8e3;
	padding: .2em;
	}
	.text-left {
	text-align: left;
	}
	.text-right {
	text-align: right;
	}
	.text-center {
	text-align: center;
	}
	.text-justify {
	text-align: justify;
	}
	.text-nowrap {
	white-space: nowrap;
	}
	.text-lowercase {
	text-transform: lowercase;
	}
	.text-uppercase {
	text-transform: uppercase;
	}
	.text-capitalize {
	text-transform: capitalize;
	}
	.text-muted {
	color: #777777;
	}
	.text-primary {
	color: #337ab7;
	}
	a.text-primary:hover,
	a.text-primary:focus {
	color: #286090;
	}
	.text-success {
	color: #3c763d;
	}
	a.text-success:hover,
	a.text-success:focus {
	color: #2b542c;
	}
	.text-info {
	color: #31708f;
	}
	a.text-info:hover,
	a.text-info:focus {
	color: #245269;
	}
	.text-warning {
	color: #8a6d3b;
	}
	a.text-warning:hover,
	a.text-warning:focus {
	color: #66512c;
	}
	.text-danger {
	color: #a94442;
	}
	a.text-danger:hover,
	a.text-danger:focus {
	color: #843534;
	}
	.bg-primary {
	color: #fff;
	background-color: #337ab7;
	}
	a.bg-primary:hover,
	a.bg-primary:focus {
	background-color: #286090;
	}
	.bg-success {
	background-color: #dff0d8;
	}
	a.bg-success:hover,
	a.bg-success:focus {
	background-color: #c1e2b3;
	}
	.bg-info {
	background-color: #d9edf7;
	}
	a.bg-info:hover,
	a.bg-info:focus {
	background-color: #afd9ee;
	}
	.bg-warning {
	background-color: #fcf8e3;
	}
	a.bg-warning:hover,
	a.bg-warning:focus {
	background-color: #f7ecb5;
	}
	.bg-danger {
	background-color: #f2dede;
	}
	a.bg-danger:hover,
	a.bg-danger:focus {
	background-color: #e4b9b9;
	}
	.page-header {
	padding-bottom: 8px;
	margin: 36px 0 18px;
	border-bottom: 1px solid #eeeeee;
	}
	ul,
	ol {
	margin-top: 0;
	margin-bottom: 9px;
	}
	ul ul,
	ol ul,
	ul ol,
	ol ol {
	margin-bottom: 0;
	}
	.list-unstyled {
	padding-left: 0;
	list-style: none;
	}
	.list-inline {
	padding-left: 0;
	list-style: none;
	margin-left: -5px;
	}
	.list-inline > li {
	display: inline-block;
	padding-left: 5px;
	padding-right: 5px;
	}
	dl {
	margin-top: 0;
	margin-bottom: 18px;
	}
	dt,
	dd {
	line-height: 1.42857143;
	}
	dt {
	font-weight: bold;
	}
	dd {
	margin-left: 0;
	}
	@media (min-width: 541px) {
	.dl-horizontal dt {
	float: left;
	width: 160px;
	clear: left;
	text-align: right;
	overflow: hidden;
	text-overflow: ellipsis;
	white-space: nowrap;
	}
	.dl-horizontal dd {
	margin-left: 180px;
	}
	}
	abbr[title],
	abbr[data-original-title] {
	cursor: help;
	border-bottom: 1px dotted #777777;
	}
	.initialism {
	font-size: 90%;
	text-transform: uppercase;
	}
	blockquote {
	padding: 9px 18px;
	margin: 0 0 18px;
	font-size: inherit;
	border-left: 5px solid #eeeeee;
	}
	blockquote p:last-child,
	blockquote ul:last-child,
	blockquote ol:last-child {
	margin-bottom: 0;
	}
	blockquote footer,
	blockquote small,
	blockquote .small {
	display: block;
	font-size: 80%;
	line-height: 1.42857143;
	color: #777777;
	}
	blockquote footer:before,
	blockquote small:before,
	blockquote .small:before {
	content: '\2014 \00A0';
	}
	.blockquote-reverse,
	blockquote.pull-right {
	padding-right: 15px;
	padding-left: 0;
	border-right: 5px solid #eeeeee;
	border-left: 0;
	text-align: right;
	}
	.blockquote-reverse footer:before,
	blockquote.pull-right footer:before,
	.blockquote-reverse small:before,
	blockquote.pull-right small:before,
	.blockquote-reverse .small:before,
	blockquote.pull-right .small:before {
	content: '';
	}
	.blockquote-reverse footer:after,
	blockquote.pull-right footer:after,
	.blockquote-reverse small:after,
	blockquote.pull-right small:after,
	.blockquote-reverse .small:after,
	blockquote.pull-right .small:after {
	content: '\00A0 \2014';
	}
	address {
	margin-bottom: 18px;
	font-style: normal;
	line-height: 1.42857143;
	}
	code,
	kbd,
	pre,
	samp {
	font-family: monospace;
	}
	code {
	padding: 2px 4px;
	font-size: 90%;
	color: #c7254e;
	background-color: #f9f2f4;
	border-radius: 2px;
	}
	kbd {
	padding: 2px 4px;
	font-size: 90%;
	color: #888;
	background-color: transparent;
	border-radius: 1px;
	box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.25);
	}
	kbd kbd {
	padding: 0;
	font-size: 100%;
	font-weight: bold;
	box-shadow: none;
	}
	pre {
	display: block;
	padding: 8.5px;
	margin: 0 0 9px;
	font-size: 12px;
	line-height: 1.42857143;
	word-break: break-all;
	word-wrap: break-word;
	color: #333333;
	background-color: #f5f5f5;
	border: 1px solid #ccc;
	border-radius: 2px;
	}
	pre code {
	padding: 0;
	font-size: inherit;
	color: inherit;
	white-space: pre-wrap;
	background-color: transparent;
	border-radius: 0;
	}
	.pre-scrollable {
	max-height: 340px;
	overflow-y: scroll;
	}
	.container {
	margin-right: auto;
	margin-left: auto;
	padding-left: 0px;
	padding-right: 0px;
	}
	@media (min-width: 768px) {
	.container {
	width: 768px;
	}
	}
	@media (min-width: 992px) {
	.container {
	width: 940px;
	}
	}
	@media (min-width: 1200px) {
	.container {
	width: 1140px;
	}
	}
	.container-fluid {
	margin-right: auto;
	margin-left: auto;
	padding-left: 0px;
	padding-right: 0px;
	}
	.row {
	margin-left: 0px;
	margin-right: 0px;
	}
	.col-xs-1, .col-sm-1, .col-md-1, .col-lg-1, .col-xs-2, .col-sm-2, .col-md-2, .col-lg-2, .col-xs-3, .col-sm-3, .col-md-3, .col-lg-3, .col-xs-4, .col-sm-4, .col-md-4, .col-lg-4, .col-xs-5, .col-sm-5, .col-md-5, .col-lg-5, .col-xs-6, .col-sm-6, .col-md-6, .col-lg-6, .col-xs-7, .col-sm-7, .col-md-7, .col-lg-7, .col-xs-8, .col-sm-8, .col-md-8, .col-lg-8, .col-xs-9, .col-sm-9, .col-md-9, .col-lg-9, .col-xs-10, .col-sm-10, .col-md-10, .col-lg-10, .col-xs-11, .col-sm-11, .col-md-11, .col-lg-11, .col-xs-12, .col-sm-12, .col-md-12, .col-lg-12 {
	position: relative;
	min-height: 1px;
	padding-left: 0px;
	padding-right: 0px;
	}
	.col-xs-1, .col-xs-2, .col-xs-3, .col-xs-4, .col-xs-5, .col-xs-6, .col-xs-7, .col-xs-8, .col-xs-9, .col-xs-10, .col-xs-11, .col-xs-12 {
	float: left;
	}
	.col-xs-12 {
	width: 100%;
	}
	.col-xs-11 {
	width: 91.66666667%;
	}
	.col-xs-10 {
	width: 83.33333333%;
	}
	.col-xs-9 {
	width: 75%;
	}
	.col-xs-8 {
	width: 66.66666667%;
	}
	.col-xs-7 {
	width: 58.33333333%;
	}
	.col-xs-6 {
	width: 50%;
	}
	.col-xs-5 {
	width: 41.66666667%;
	}
	.col-xs-4 {
	width: 33.33333333%;
	}
	.col-xs-3 {
	width: 25%;
	}
	.col-xs-2 {
	width: 16.66666667%;
	}
	.col-xs-1 {
	width: 8.33333333%;
	}
	.col-xs-pull-12 {
	right: 100%;
	}
	.col-xs-pull-11 {
	right: 91.66666667%;
	}
	.col-xs-pull-10 {
	right: 83.33333333%;
	}
	.col-xs-pull-9 {
	right: 75%;
	}
	.col-xs-pull-8 {
	right: 66.66666667%;
	}
	.col-xs-pull-7 {
	right: 58.33333333%;
	}
	.col-xs-pull-6 {
	right: 50%;
	}
	.col-xs-pull-5 {
	right: 41.66666667%;
	}
	.col-xs-pull-4 {
	right: 33.33333333%;
	}
	.col-xs-pull-3 {
	right: 25%;
	}
	.col-xs-pull-2 {
	right: 16.66666667%;
	}
	.col-xs-pull-1 {
	right: 8.33333333%;
	}
	.col-xs-pull-0 {
	right: auto;
	}
	.col-xs-push-12 {
	left: 100%;
	}
	.col-xs-push-11 {
	left: 91.66666667%;
	}
	.col-xs-push-10 {
	left: 83.33333333%;
	}
	.col-xs-push-9 {
	left: 75%;
	}
	.col-xs-push-8 {
	left: 66.66666667%;
	}
	.col-xs-push-7 {
	left: 58.33333333%;
	}
	.col-xs-push-6 {
	left: 50%;
	}
	.col-xs-push-5 {
	left: 41.66666667%;
	}
	.col-xs-push-4 {
	left: 33.33333333%;
	}
	.col-xs-push-3 {
	left: 25%;
	}
	.col-xs-push-2 {
	left: 16.66666667%;
	}
	.col-xs-push-1 {
	left: 8.33333333%;
	}
	.col-xs-push-0 {
	left: auto;
	}
	.col-xs-offset-12 {
	margin-left: 100%;
	}
	.col-xs-offset-11 {
	margin-left: 91.66666667%;
	}
	.col-xs-offset-10 {
	margin-left: 83.33333333%;
	}
	.col-xs-offset-9 {
	margin-left: 75%;
	}
	.col-xs-offset-8 {
	margin-left: 66.66666667%;
	}
	.col-xs-offset-7 {
	margin-left: 58.33333333%;
	}
	.col-xs-offset-6 {
	margin-left: 50%;
	}
	.col-xs-offset-5 {
	margin-left: 41.66666667%;
	}
	.col-xs-offset-4 {
	margin-left: 33.33333333%;
	}
	.col-xs-offset-3 {
	margin-left: 25%;
	}
	.col-xs-offset-2 {
	margin-left: 16.66666667%;
	}
	.col-xs-offset-1 {
	margin-left: 8.33333333%;
	}
	.col-xs-offset-0 {
	margin-left: 0%;
	}
	@media (min-width: 768px) {
	.col-sm-1, .col-sm-2, .col-sm-3, .col-sm-4, .col-sm-5, .col-sm-6, .col-sm-7, .col-sm-8, .col-sm-9, .col-sm-10, .col-sm-11, .col-sm-12 {
	float: left;
	}
	.col-sm-12 {
	width: 100%;
	}
	.col-sm-11 {
	width: 91.66666667%;
	}
	.col-sm-10 {
	width: 83.33333333%;
	}
	.col-sm-9 {
	width: 75%;
	}
	.col-sm-8 {
	width: 66.66666667%;
	}
	.col-sm-7 {
	width: 58.33333333%;
	}
	.col-sm-6 {
	width: 50%;
	}
	.col-sm-5 {
	width: 41.66666667%;
	}
	.col-sm-4 {
	width: 33.33333333%;
	}
	.col-sm-3 {
	width: 25%;
	}
	.col-sm-2 {
	width: 16.66666667%;
	}
	.col-sm-1 {
	width: 8.33333333%;
	}
	.col-sm-pull-12 {
	right: 100%;
	}
	.col-sm-pull-11 {
	right: 91.66666667%;
	}
	.col-sm-pull-10 {
	right: 83.33333333%;
	}
	.col-sm-pull-9 {
	right: 75%;
	}
	.col-sm-pull-8 {
	right: 66.66666667%;
	}
	.col-sm-pull-7 {
	right: 58.33333333%;
	}
	.col-sm-pull-6 {
	right: 50%;
	}
	.col-sm-pull-5 {
	right: 41.66666667%;
	}
	.col-sm-pull-4 {
	right: 33.33333333%;
	}
	.col-sm-pull-3 {
	right: 25%;
	}
	.col-sm-pull-2 {
	right: 16.66666667%;
	}
	.col-sm-pull-1 {
	right: 8.33333333%;
	}
	.col-sm-pull-0 {
	right: auto;
	}
	.col-sm-push-12 {
	left: 100%;
	}
	.col-sm-push-11 {
	left: 91.66666667%;
	}
	.col-sm-push-10 {
	left: 83.33333333%;
	}
	.col-sm-push-9 {
	left: 75%;
	}
	.col-sm-push-8 {
	left: 66.66666667%;
	}
	.col-sm-push-7 {
	left: 58.33333333%;
	}
	.col-sm-push-6 {
	left: 50%;
	}
	.col-sm-push-5 {
	left: 41.66666667%;
	}
	.col-sm-push-4 {
	left: 33.33333333%;
	}
	.col-sm-push-3 {
	left: 25%;
	}
	.col-sm-push-2 {
	left: 16.66666667%;
	}
	.col-sm-push-1 {
	left: 8.33333333%;
	}
	.col-sm-push-0 {
	left: auto;
	}
	.col-sm-offset-12 {
	margin-left: 100%;
	}
	.col-sm-offset-11 {
	margin-left: 91.66666667%;
	}
	.col-sm-offset-10 {
	margin-left: 83.33333333%;
	}
	.col-sm-offset-9 {
	margin-left: 75%;
	}
	.col-sm-offset-8 {
	margin-left: 66.66666667%;
	}
	.col-sm-offset-7 {
	margin-left: 58.33333333%;
	}
	.col-sm-offset-6 {
	margin-left: 50%;
	}
	.col-sm-offset-5 {
	margin-left: 41.66666667%;
	}
	.col-sm-offset-4 {
	margin-left: 33.33333333%;
	}
	.col-sm-offset-3 {
	margin-left: 25%;
	}
	.col-sm-offset-2 {
	margin-left: 16.66666667%;
	}
	.col-sm-offset-1 {
	margin-left: 8.33333333%;
	}
	.col-sm-offset-0 {
	margin-left: 0%;
	}
	}
	@media (min-width: 992px) {
	.col-md-1, .col-md-2, .col-md-3, .col-md-4, .col-md-5, .col-md-6, .col-md-7, .col-md-8, .col-md-9, .col-md-10, .col-md-11, .col-md-12 {
	float: left;
	}
	.col-md-12 {
	width: 100%;
	}
	.col-md-11 {
	width: 91.66666667%;
	}
	.col-md-10 {
	width: 83.33333333%;
	}
	.col-md-9 {
	width: 75%;
	}
	.col-md-8 {
	width: 66.66666667%;
	}
	.col-md-7 {
	width: 58.33333333%;
	}
	.col-md-6 {
	width: 50%;
	}
	.col-md-5 {
	width: 41.66666667%;
	}
	.col-md-4 {
	width: 33.33333333%;
	}
	.col-md-3 {
	width: 25%;
	}
	.col-md-2 {
	width: 16.66666667%;
	}
	.col-md-1 {
	width: 8.33333333%;
	}
	.col-md-pull-12 {
	right: 100%;
	}
	.col-md-pull-11 {
	right: 91.66666667%;
	}
	.col-md-pull-10 {
	right: 83.33333333%;
	}
	.col-md-pull-9 {
	right: 75%;
	}
	.col-md-pull-8 {
	right: 66.66666667%;
	}
	.col-md-pull-7 {
	right: 58.33333333%;
	}
	.col-md-pull-6 {
	right: 50%;
	}
	.col-md-pull-5 {
	right: 41.66666667%;
	}
	.col-md-pull-4 {
	right: 33.33333333%;
	}
	.col-md-pull-3 {
	right: 25%;
	}
	.col-md-pull-2 {
	right: 16.66666667%;
	}
	.col-md-pull-1 {
	right: 8.33333333%;
	}
	.col-md-pull-0 {
	right: auto;
	}
	.col-md-push-12 {
	left: 100%;
	}
	.col-md-push-11 {
	left: 91.66666667%;
	}
	.col-md-push-10 {
	left: 83.33333333%;
	}
	.col-md-push-9 {
	left: 75%;
	}
	.col-md-push-8 {
	left: 66.66666667%;
	}
	.col-md-push-7 {
	left: 58.33333333%;
	}
	.col-md-push-6 {
	left: 50%;
	}
	.col-md-push-5 {
	left: 41.66666667%;
	}
	.col-md-push-4 {
	left: 33.33333333%;
	}
	.col-md-push-3 {
	left: 25%;
	}
	.col-md-push-2 {
	left: 16.66666667%;
	}
	.col-md-push-1 {
	left: 8.33333333%;
	}
	.col-md-push-0 {
	left: auto;
	}
	.col-md-offset-12 {
	margin-left: 100%;
	}
	.col-md-offset-11 {
	margin-left: 91.66666667%;
	}
	.col-md-offset-10 {
	margin-left: 83.33333333%;
	}
	.col-md-offset-9 {
	margin-left: 75%;
	}
	.col-md-offset-8 {
	margin-left: 66.66666667%;
	}
	.col-md-offset-7 {
	margin-left: 58.33333333%;
	}
	.col-md-offset-6 {
	margin-left: 50%;
	}
	.col-md-offset-5 {
	margin-left: 41.66666667%;
	}
	.col-md-offset-4 {
	margin-left: 33.33333333%;
	}
	.col-md-offset-3 {
	margin-left: 25%;
	}
	.col-md-offset-2 {
	margin-left: 16.66666667%;
	}
	.col-md-offset-1 {
	margin-left: 8.33333333%;
	}
	.col-md-offset-0 {
	margin-left: 0%;
	}
	}
	@media (min-width: 1200px) {
	.col-lg-1, .col-lg-2, .col-lg-3, .col-lg-4, .col-lg-5, .col-lg-6, .col-lg-7, .col-lg-8, .col-lg-9, .col-lg-10, .col-lg-11, .col-lg-12 {
	float: left;
	}
	.col-lg-12 {
	width: 100%;
	}
	.col-lg-11 {
	width: 91.66666667%;
	}
	.col-lg-10 {
	width: 83.33333333%;
	}
	.col-lg-9 {
	width: 75%;
	}
	.col-lg-8 {
	width: 66.66666667%;
	}
	.col-lg-7 {
	width: 58.33333333%;
	}
	.col-lg-6 {
	width: 50%;
	}
	.col-lg-5 {
	width: 41.66666667%;
	}
	.col-lg-4 {
	width: 33.33333333%;
	}
	.col-lg-3 {
	width: 25%;
	}
	.col-lg-2 {
	width: 16.66666667%;
	}
	.col-lg-1 {
	width: 8.33333333%;
	}
	.col-lg-pull-12 {
	right: 100%;
	}
	.col-lg-pull-11 {
	right: 91.66666667%;
	}
	.col-lg-pull-10 {
	right: 83.33333333%;
	}
	.col-lg-pull-9 {
	right: 75%;
	}
	.col-lg-pull-8 {
	right: 66.66666667%;
	}
	.col-lg-pull-7 {
	right: 58.33333333%;
	}
	.col-lg-pull-6 {
	right: 50%;
	}
	.col-lg-pull-5 {
	right: 41.66666667%;
	}
	.col-lg-pull-4 {
	right: 33.33333333%;
	}
	.col-lg-pull-3 {
	right: 25%;
	}
	.col-lg-pull-2 {
	right: 16.66666667%;
	}
	.col-lg-pull-1 {
	right: 8.33333333%;
	}
	.col-lg-pull-0 {
	right: auto;
	}
	.col-lg-push-12 {
	left: 100%;
	}
	.col-lg-push-11 {
	left: 91.66666667%;
	}
	.col-lg-push-10 {
	left: 83.33333333%;
	}
	.col-lg-push-9 {
	left: 75%;
	}
	.col-lg-push-8 {
	left: 66.66666667%;
	}
	.col-lg-push-7 {
	left: 58.33333333%;
	}
	.col-lg-push-6 {
	left: 50%;
	}
	.col-lg-push-5 {
	left: 41.66666667%;
	}
	.col-lg-push-4 {
	left: 33.33333333%;
	}
	.col-lg-push-3 {
	left: 25%;
	}
	.col-lg-push-2 {
	left: 16.66666667%;
	}
	.col-lg-push-1 {
	left: 8.33333333%;
	}
	.col-lg-push-0 {
	left: auto;
	}
	.col-lg-offset-12 {
	margin-left: 100%;
	}
	.col-lg-offset-11 {
	margin-left: 91.66666667%;
	}
	.col-lg-offset-10 {
	margin-left: 83.33333333%;
	}
	.col-lg-offset-9 {
	margin-left: 75%;
	}
	.col-lg-offset-8 {
	margin-left: 66.66666667%;
	}
	.col-lg-offset-7 {
	margin-left: 58.33333333%;
	}
	.col-lg-offset-6 {
	margin-left: 50%;
	}
	.col-lg-offset-5 {
	margin-left: 41.66666667%;
	}
	.col-lg-offset-4 {
	margin-left: 33.33333333%;
	}
	.col-lg-offset-3 {
	margin-left: 25%;
	}
	.col-lg-offset-2 {
	margin-left: 16.66666667%;
	}
	.col-lg-offset-1 {
	margin-left: 8.33333333%;
	}
	.col-lg-offset-0 {
	margin-left: 0%;
	}
	}
	table {
	background-color: transparent;
	}
	caption {
	padding-top: 8px;
	padding-bottom: 8px;
	color: #777777;
	text-align: left;
	}
	th {
	text-align: left;
	}
	.table {
	width: 100%;
	max-width: 100%;
	margin-bottom: 18px;
	}
	.table > thead > tr > th,
	.table > tbody > tr > th,
	.table > tfoot > tr > th,
	.table > thead > tr > td,
	.table > tbody > tr > td,
	.table > tfoot > tr > td {
	padding: 8px;
	line-height: 1.42857143;
	vertical-align: top;
	border-top: 1px solid #ddd;
	}
	.table > thead > tr > th {
	vertical-align: bottom;
	border-bottom: 2px solid #ddd;
	}
	.table > caption + thead > tr:first-child > th,
	.table > colgroup + thead > tr:first-child > th,
	.table > thead:first-child > tr:first-child > th,
	.table > caption + thead > tr:first-child > td,
	.table > colgroup + thead > tr:first-child > td,
	.table > thead:first-child > tr:first-child > td {
	border-top: 0;
	}
	.table > tbody + tbody {
	border-top: 2px solid #ddd;
	}
	.table .table {
	background-color: #fff;
	}
	.table-condensed > thead > tr > th,
	.table-condensed > tbody > tr > th,
	.table-condensed > tfoot > tr > th,
	.table-condensed > thead > tr > td,
	.table-condensed > tbody > tr > td,
	.table-condensed > tfoot > tr > td {
	padding: 5px;
	}
	.table-bordered {
	border: 1px solid #ddd;
	}
	.table-bordered > thead > tr > th,
	.table-bordered > tbody > tr > th,
	.table-bordered > tfoot > tr > th,
	.table-bordered > thead > tr > td,
	.table-bordered > tbody > tr > td,
	.table-bordered > tfoot > tr > td {
	border: 1px solid #ddd;
	}
	.table-bordered > thead > tr > th,
	.table-bordered > thead > tr > td {
	border-bottom-width: 2px;
	}
	.table-striped > tbody > tr:nth-of-type(odd) {
	background-color: #f9f9f9;
	}
	.table-hover > tbody > tr:hover {
	background-color: #f5f5f5;
	}
	table col[class*="col-"] {
	position: static;
	float: none;
	display: table-column;
	}
	table td[class*="col-"],
	table th[class*="col-"] {
	position: static;
	float: none;
	display: table-cell;
	}
	.table > thead > tr > td.active,
	.table > tbody > tr > td.active,
	.table > tfoot > tr > td.active,
	.table > thead > tr > th.active,
	.table > tbody > tr > th.active,
	.table > tfoot > tr > th.active,
	.table > thead > tr.active > td,
	.table > tbody > tr.active > td,
	.table > tfoot > tr.active > td,
	.table > thead > tr.active > th,
	.table > tbody > tr.active > th,
	.table > tfoot > tr.active > th {
	background-color: #f5f5f5;
	}
	.table-hover > tbody > tr > td.active:hover,
	.table-hover > tbody > tr > th.active:hover,
	.table-hover > tbody > tr.active:hover > td,
	.table-hover > tbody > tr:hover > .active,
	.table-hover > tbody > tr.active:hover > th {
	background-color: #e8e8e8;
	}
	.table > thead > tr > td.success,
	.table > tbody > tr > td.success,
	.table > tfoot > tr > td.success,
	.table > thead > tr > th.success,
	.table > tbody > tr > th.success,
	.table > tfoot > tr > th.success,
	.table > thead > tr.success > td,
	.table > tbody > tr.success > td,
	.table > tfoot > tr.success > td,
	.table > thead > tr.success > th,
	.table > tbody > tr.success > th,
	.table > tfoot > tr.success > th {
	background-color: #dff0d8;
	}
	.table-hover > tbody > tr > td.success:hover,
	.table-hover > tbody > tr > th.success:hover,
	.table-hover > tbody > tr.success:hover > td,
	.table-hover > tbody > tr:hover > .success,
	.table-hover > tbody > tr.success:hover > th {
	background-color: #d0e9c6;
	}
	.table > thead > tr > td.info,
	.table > tbody > tr > td.info,
	.table > tfoot > tr > td.info,
	.table > thead > tr > th.info,
	.table > tbody > tr > th.info,
	.table > tfoot > tr > th.info,
	.table > thead > tr.info > td,
	.table > tbody > tr.info > td,
	.table > tfoot > tr.info > td,
	.table > thead > tr.info > th,
	.table > tbody > tr.info > th,
	.table > tfoot > tr.info > th {
	background-color: #d9edf7;
	}
	.table-hover > tbody > tr > td.info:hover,
	.table-hover > tbody > tr > th.info:hover,
	.table-hover > tbody > tr.info:hover > td,
	.table-hover > tbody > tr:hover > .info,
	.table-hover > tbody > tr.info:hover > th {
	background-color: #c4e3f3;
	}
	.table > thead > tr > td.warning,
	.table > tbody > tr > td.warning,
	.table > tfoot > tr > td.warning,
	.table > thead > tr > th.warning,
	.table > tbody > tr > th.warning,
	.table > tfoot > tr > th.warning,
	.table > thead > tr.warning > td,
	.table > tbody > tr.warning > td,
	.table > tfoot > tr.warning > td,
	.table > thead > tr.warning > th,
	.table > tbody > tr.warning > th,
	.table > tfoot > tr.warning > th {
	background-color: #fcf8e3;
	}
	.table-hover > tbody > tr > td.warning:hover,
	.table-hover > tbody > tr > th.warning:hover,
	.table-hover > tbody > tr.warning:hover > td,
	.table-hover > tbody > tr:hover > .warning,
	.table-hover > tbody > tr.warning:hover > th {
	background-color: #faf2cc;
	}
	.table > thead > tr > td.danger,
	.table > tbody > tr > td.danger,
	.table > tfoot > tr > td.danger,
	.table > thead > tr > th.danger,
	.table > tbody > tr > th.danger,
	.table > tfoot > tr > th.danger,
	.table > thead > tr.danger > td,
	.table > tbody > tr.danger > td,
	.table > tfoot > tr.danger > td,
	.table > thead > tr.danger > th,
	.table > tbody > tr.danger > th,
	.table > tfoot > tr.danger > th {
	background-color: #f2dede;
	}
	.table-hover > tbody > tr > td.danger:hover,
	.table-hover > tbody > tr > th.danger:hover,
	.table-hover > tbody > tr.danger:hover > td,
	.table-hover > tbody > tr:hover > .danger,
	.table-hover > tbody > tr.danger:hover > th {
	background-color: #ebcccc;
	}
	.table-responsive {
	overflow-x: auto;
	min-height: 0.01%;
	}
	@media screen and (max-width: 767px) {
	.table-responsive {
	width: 100%;
	margin-bottom: 13.5px;
	overflow-y: hidden;
	-ms-overflow-style: -ms-autohiding-scrollbar;
	border: 1px solid #ddd;
	}
	.table-responsive > .table {
	margin-bottom: 0;
	}
	.table-responsive > .table > thead > tr > th,
	.table-responsive > .table > tbody > tr > th,
	.table-responsive > .table > tfoot > tr > th,
	.table-responsive > .table > thead > tr > td,
	.table-responsive > .table > tbody > tr > td,
	.table-responsive > .table > tfoot > tr > td {
	white-space: nowrap;
	}
	.table-responsive > .table-bordered {
	border: 0;
	}
	.table-responsive > .table-bordered > thead > tr > th:first-child,
	.table-responsive > .table-bordered > tbody > tr > th:first-child,
	.table-responsive > .table-bordered > tfoot > tr > th:first-child,
	.table-responsive > .table-bordered > thead > tr > td:first-child,
	.table-responsive > .table-bordered > tbody > tr > td:first-child,
	.table-responsive > .table-bordered > tfoot > tr > td:first-child {
	border-left: 0;
	}
	.table-responsive > .table-bordered > thead > tr > th:last-child,
	.table-responsive > .table-bordered > tbody > tr > th:last-child,
	.table-responsive > .table-bordered > tfoot > tr > th:last-child,
	.table-responsive > .table-bordered > thead > tr > td:last-child,
	.table-responsive > .table-bordered > tbody > tr > td:last-child,
	.table-responsive > .table-bordered > tfoot > tr > td:last-child {
	border-right: 0;
	}
	.table-responsive > .table-bordered > tbody > tr:last-child > th,
	.table-responsive > .table-bordered > tfoot > tr:last-child > th,
	.table-responsive > .table-bordered > tbody > tr:last-child > td,
	.table-responsive > .table-bordered > tfoot > tr:last-child > td {
	border-bottom: 0;
	}
	}
	fieldset {
	padding: 0;
	margin: 0;
	border: 0;
	min-width: 0;
	}
	legend {
	display: block;
	width: 100%;
	padding: 0;
	margin-bottom: 18px;
	font-size: 19.5px;
	line-height: inherit;
	color: #333333;
	border: 0;
	border-bottom: 1px solid #e5e5e5;
	}
	label {
	display: inline-block;
	max-width: 100%;
	margin-bottom: 5px;
	font-weight: bold;
	}
	input[type="search"] {
	-webkit-box-sizing: border-box;
	-moz-box-sizing: border-box;
	box-sizing: border-box;
	}
	input[type="radio"],
	input[type="checkbox"] {
	margin: 4px 0 0;
	margin-top: 1px \9;
	line-height: normal;
	}
	input[type="file"] {
	display: block;
	}
	input[type="range"] {
	display: block;
	width: 100%;
	}
	select[multiple],
	select[size] {
	height: auto;
	}
	input[type="file"]:focus,
	input[type="radio"]:focus,
	input[type="checkbox"]:focus {
	outline: 5px auto -webkit-focus-ring-color;
	outline-offset: -2px;
	}
	output {
	display: block;
	padding-top: 7px;
	font-size: 13px;
	line-height: 1.42857143;
	color: #555555;
	}
	.form-control {
	display: block;
	width: 100%;
	height: 32px;
	padding: 6px 12px;
	font-size: 13px;
	line-height: 1.42857143;
	color: #555555;
	background-color: #fff;
	background-image: none;
	border: 1px solid #ccc;
	border-radius: 2px;
	-webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
	box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
	-webkit-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
	-o-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
	transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
	}
	.form-control:focus {
	border-color: #66afe9;
	outline: 0;
	-webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
	box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
	}
	.form-control::-moz-placeholder {
	color: #999;
	opacity: 1;
	}
	.form-control:-ms-input-placeholder {
	color: #999;
	}
	.form-control::-webkit-input-placeholder {
	color: #999;
	}
	.form-control::-ms-expand {
	border: 0;
	background-color: transparent;
	}
	.form-control[disabled],
	.form-control[readonly],
	fieldset[disabled] .form-control {
	background-color: #eeeeee;
	opacity: 1;
	}
	.form-control[disabled],
	fieldset[disabled] .form-control {
	cursor: not-allowed;
	}
	textarea.form-control {
	height: auto;
	}
	input[type="search"] {
	-webkit-appearance: none;
	}
	@media screen and (-webkit-min-device-pixel-ratio: 0) {
	input[type="date"].form-control,
	input[type="time"].form-control,
	input[type="datetime-local"].form-control,
	input[type="month"].form-control {
	line-height: 32px;
	}
	input[type="date"].input-sm,
	input[type="time"].input-sm,
	input[type="datetime-local"].input-sm,
	input[type="month"].input-sm,
	.input-group-sm input[type="date"],
	.input-group-sm input[type="time"],
	.input-group-sm input[type="datetime-local"],
	.input-group-sm input[type="month"] {
	line-height: 30px;
	}
	input[type="date"].input-lg,
	input[type="time"].input-lg,
	input[type="datetime-local"].input-lg,
	input[type="month"].input-lg,
	.input-group-lg input[type="date"],
	.input-group-lg input[type="time"],
	.input-group-lg input[type="datetime-local"],
	.input-group-lg input[type="month"] {
	line-height: 45px;
	}
	}
	.form-group {
	margin-bottom: 15px;
	}
	.radio,
	.checkbox {
	position: relative;
	display: block;
	margin-top: 10px;
	margin-bottom: 10px;
	}
	.radio label,
	.checkbox label {
	min-height: 18px;
	padding-left: 20px;
	margin-bottom: 0;
	font-weight: normal;
	cursor: pointer;
	}
	.radio input[type="radio"],
	.radio-inline input[type="radio"],
	.checkbox input[type="checkbox"],
	.checkbox-inline input[type="checkbox"] {
	position: absolute;
	margin-left: -20px;
	margin-top: 4px \9;
	}
	.radio + .radio,
	.checkbox + .checkbox {
	margin-top: -5px;
	}
	.radio-inline,
	.checkbox-inline {
	position: relative;
	display: inline-block;
	padding-left: 20px;
	margin-bottom: 0;
	vertical-align: middle;
	font-weight: normal;
	cursor: pointer;
	}
	.radio-inline + .radio-inline,
	.checkbox-inline + .checkbox-inline {
	margin-top: 0;
	margin-left: 10px;
	}
	input[type="radio"][disabled],
	input[type="checkbox"][disabled],
	input[type="radio"].disabled,
	input[type="checkbox"].disabled,
	fieldset[disabled] input[type="radio"],
	fieldset[disabled] input[type="checkbox"] {
	cursor: not-allowed;
	}
	.radio-inline.disabled,
	.checkbox-inline.disabled,
	fieldset[disabled] .radio-inline,
	fieldset[disabled] .checkbox-inline {
	cursor: not-allowed;
	}
	.radio.disabled label,
	.checkbox.disabled label,
	fieldset[disabled] .radio label,
	fieldset[disabled] .checkbox label {
	cursor: not-allowed;
	}
	.form-control-static {
	padding-top: 7px;
	padding-bottom: 7px;
	margin-bottom: 0;
	min-height: 31px;
	}
	.form-control-static.input-lg,
	.form-control-static.input-sm {
	padding-left: 0;
	padding-right: 0;
	}
	.input-sm {
	height: 30px;
	padding: 5px 10px;
	font-size: 12px;
	line-height: 1.5;
	border-radius: 1px;
	}
	select.input-sm {
	height: 30px;
	line-height: 30px;
	}
	textarea.input-sm,
	select[multiple].input-sm {
	height: auto;
	}
	.form-group-sm .form-control {
	height: 30px;
	padding: 5px 10px;
	font-size: 12px;
	line-height: 1.5;
	border-radius: 1px;
	}
	.form-group-sm select.form-control {
	height: 30px;
	line-height: 30px;
	}
	.form-group-sm textarea.form-control,
	.form-group-sm select[multiple].form-control {
	height: auto;
	}
	.form-group-sm .form-control-static {
	height: 30px;
	min-height: 30px;
	padding: 6px 10px;
	font-size: 12px;
	line-height: 1.5;
	}
	.input-lg {
	height: 45px;
	padding: 10px 16px;
	font-size: 17px;
	line-height: 1.3333333;
	border-radius: 3px;
	}
	select.input-lg {
	height: 45px;
	line-height: 45px;
	}
	textarea.input-lg,
	select[multiple].input-lg {
	height: auto;
	}
	.form-group-lg .form-control {
	height: 45px;
	padding: 10px 16px;
	font-size: 17px;
	line-height: 1.3333333;
	border-radius: 3px;
	}
	.form-group-lg select.form-control {
	height: 45px;
	line-height: 45px;
	}
	.form-group-lg textarea.form-control,
	.form-group-lg select[multiple].form-control {
	height: auto;
	}
	.form-group-lg .form-control-static {
	height: 45px;
	min-height: 35px;
	padding: 11px 16px;
	font-size: 17px;
	line-height: 1.3333333;
	}
	.has-feedback {
	position: relative;
	}
	.has-feedback .form-control {
	padding-right: 40px;
	}
	.form-control-feedback {
	position: absolute;
	top: 0;
	right: 0;
	z-index: 2;
	display: block;
	width: 32px;
	height: 32px;
	line-height: 32px;
	text-align: center;
	pointer-events: none;
	}
	.input-lg + .form-control-feedback,
	.input-group-lg + .form-control-feedback,
	.form-group-lg .form-control + .form-control-feedback {
	width: 45px;
	height: 45px;
	line-height: 45px;
	}
	.input-sm + .form-control-feedback,
	.input-group-sm + .form-control-feedback,
	.form-group-sm .form-control + .form-control-feedback {
	width: 30px;
	height: 30px;
	line-height: 30px;
	}
	.has-success .help-block,
	.has-success .control-label,
	.has-success .radio,
	.has-success .checkbox,
	.has-success .radio-inline,
	.has-success .checkbox-inline,
	.has-success.radio label,
	.has-success.checkbox label,
	.has-success.radio-inline label,
	.has-success.checkbox-inline label {
	color: #3c763d;
	}
	.has-success .form-control {
	border-color: #3c763d;
	-webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
	box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
	}
	.has-success .form-control:focus {
	border-color: #2b542c;
	-webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #67b168;
	box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #67b168;
	}
	.has-success .input-group-addon {
	color: #3c763d;
	border-color: #3c763d;
	background-color: #dff0d8;
	}
	.has-success .form-control-feedback {
	color: #3c763d;
	}
	.has-warning .help-block,
	.has-warning .control-label,
	.has-warning .radio,
	.has-warning .checkbox,
	.has-warning .radio-inline,
	.has-warning .checkbox-inline,
	.has-warning.radio label,
	.has-warning.checkbox label,
	.has-warning.radio-inline label,
	.has-warning.checkbox-inline label {
	color: #8a6d3b;
	}
	.has-warning .form-control {
	border-color: #8a6d3b;
	-webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
	box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
	}
	.has-warning .form-control:focus {
	border-color: #66512c;
	-webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #c0a16b;
	box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #c0a16b;
	}
	.has-warning .input-group-addon {
	color: #8a6d3b;
	border-color: #8a6d3b;
	background-color: #fcf8e3;
	}
	.has-warning .form-control-feedback {
	color: #8a6d3b;
	}
	.has-error .help-block,
	.has-error .control-label,
	.has-error .radio,
	.has-error .checkbox,
	.has-error .radio-inline,
	.has-error .checkbox-inline,
	.has-error.radio label,
	.has-error.checkbox label,
	.has-error.radio-inline label,
	.has-error.checkbox-inline label {
	color: #a94442;
	}
	.has-error .form-control {
	border-color: #a94442;
	-webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
	box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
	}
	.has-error .form-control:focus {
	border-color: #843534;
	-webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #ce8483;
	box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #ce8483;
	}
	.has-error .input-group-addon {
	color: #a94442;
	border-color: #a94442;
	background-color: #f2dede;
	}
	.has-error .form-control-feedback {
	color: #a94442;
	}
	.has-feedback label ~ .form-control-feedback {
	top: 23px;
	}
	.has-feedback label.sr-only ~ .form-control-feedback {
	top: 0;
	}
	.help-block {
	display: block;
	margin-top: 5px;
	margin-bottom: 10px;
	color: #404040;
	}
	@media (min-width: 768px) {
	.form-inline .form-group {
	display: inline-block;
	margin-bottom: 0;
	vertical-align: middle;
	}
	.form-inline .form-control {
	display: inline-block;
	width: auto;
	vertical-align: middle;
	}
	.form-inline .form-control-static {
	display: inline-block;
	}
	.form-inline .input-group {
	display: inline-table;
	vertical-align: middle;
	}
	.form-inline .input-group .input-group-addon,
	.form-inline .input-group .input-group-btn,
	.form-inline .input-group .form-control {
	width: auto;
	}
	.form-inline .input-group > .form-control {
	width: 100%;
	}
	.form-inline .control-label {
	margin-bottom: 0;
	vertical-align: middle;
	}
	.form-inline .radio,
	.form-inline .checkbox {
	display: inline-block;
	margin-top: 0;
	margin-bottom: 0;
	vertical-align: middle;
	}
	.form-inline .radio label,
	.form-inline .checkbox label {
	padding-left: 0;
	}
	.form-inline .radio input[type="radio"],
	.form-inline .checkbox input[type="checkbox"] {
	position: relative;
	margin-left: 0;
	}
	.form-inline .has-feedback .form-control-feedback {
	top: 0;
	}
	}
	.form-horizontal .radio,
	.form-horizontal .checkbox,
	.form-horizontal .radio-inline,
	.form-horizontal .checkbox-inline {
	margin-top: 0;
	margin-bottom: 0;
	padding-top: 7px;
	}
	.form-horizontal .radio,
	.form-horizontal .checkbox {
	min-height: 25px;
	}
	.form-horizontal .form-group {
	margin-left: 0px;
	margin-right: 0px;
	}
	@media (min-width: 768px) {
	.form-horizontal .control-label {
	text-align: right;
	margin-bottom: 0;
	padding-top: 7px;
	}
	}
	.form-horizontal .has-feedback .form-control-feedback {
	right: 0px;
	}
	@media (min-width: 768px) {
	.form-horizontal .form-group-lg .control-label {
	padding-top: 11px;
	font-size: 17px;
	}
	}
	@media (min-width: 768px) {
	.form-horizontal .form-group-sm .control-label {
	padding-top: 6px;
	font-size: 12px;
	}
	}
	.btn {
	display: inline-block;
	margin-bottom: 0;
	font-weight: normal;
	text-align: center;
	vertical-align: middle;
	touch-action: manipulation;
	cursor: pointer;
	background-image: none;
	border: 1px solid transparent;
	white-space: nowrap;
	padding: 6px 12px;
	font-size: 13px;
	line-height: 1.42857143;
	border-radius: 2px;
	-webkit-user-select: none;
	-moz-user-select: none;
	-ms-user-select: none;
	user-select: none;
	}
	.btn:focus,
	.btn:active:focus,
	.btn.active:focus,
	.btn.focus,
	.btn:active.focus,
	.btn.active.focus {
	outline: 5px auto -webkit-focus-ring-color;
	outline-offset: -2px;
	}
	.btn:hover,
	.btn:focus,
	.btn.focus {
	color: #333;
	text-decoration: none;
	}
	.btn:active,
	.btn.active {
	outline: 0;
	background-image: none;
	-webkit-box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);
	box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);
	}
	.btn.disabled,
	.btn[disabled],
	fieldset[disabled] .btn {
	cursor: not-allowed;
	opacity: 0.65;
	filter: alpha(opacity=65);
	-webkit-box-shadow: none;
	box-shadow: none;
	}
	a.btn.disabled,
	fieldset[disabled] a.btn {
	pointer-events: none;
	}
	.btn-default {
	color: #333;
	background-color: #fff;
	border-color: #ccc;
	}
	.btn-default:focus,
	.btn-default.focus {
	color: #333;
	background-color: #e6e6e6;
	border-color: #8c8c8c;
	}
	.btn-default:hover {
	color: #333;
	background-color: #e6e6e6;
	border-color: #adadad;
	}
	.btn-default:active,
	.btn-default.active,
	.open > .dropdown-toggle.btn-default {
	color: #333;
	background-color: #e6e6e6;
	border-color: #adadad;
	}
	.btn-default:active:hover,
	.btn-default.active:hover,
	.open > .dropdown-toggle.btn-default:hover,
	.btn-default:active:focus,
	.btn-default.active:focus,
	.open > .dropdown-toggle.btn-default:focus,
	.btn-default:active.focus,
	.btn-default.active.focus,
	.open > .dropdown-toggle.btn-default.focus {
	color: #333;
	background-color: #d4d4d4;
	border-color: #8c8c8c;
	}
	.btn-default:active,
	.btn-default.active,
	.open > .dropdown-toggle.btn-default {
	background-image: none;
	}
	.btn-default.disabled:hover,
	.btn-default[disabled]:hover,
	fieldset[disabled] .btn-default:hover,
	.btn-default.disabled:focus,
	.btn-default[disabled]:focus,
	fieldset[disabled] .btn-default:focus,
	.btn-default.disabled.focus,
	.btn-default[disabled].focus,
	fieldset[disabled] .btn-default.focus {
	background-color: #fff;
	border-color: #ccc;
	}
	.btn-default .badge {
	color: #fff;
	background-color: #333;
	}
	.btn-primary {
	color: #fff;
	background-color: #337ab7;
	border-color: #2e6da4;
	}
	.btn-primary:focus,
	.btn-primary.focus {
	color: #fff;
	background-color: #286090;
	border-color: #122b40;
	}
	.btn-primary:hover {
	color: #fff;
	background-color: #286090;
	border-color: #204d74;
	}
	.btn-primary:active,
	.btn-primary.active,
	.open > .dropdown-toggle.btn-primary {
	color: #fff;
	background-color: #286090;
	border-color: #204d74;
	}
	.btn-primary:active:hover,
	.btn-primary.active:hover,
	.open > .dropdown-toggle.btn-primary:hover,
	.btn-primary:active:focus,
	.btn-primary.active:focus,
	.open > .dropdown-toggle.btn-primary:focus,
	.btn-primary:active.focus,
	.btn-primary.active.focus,
	.open > .dropdown-toggle.btn-primary.focus {
	color: #fff;
	background-color: #204d74;
	border-color: #122b40;
	}
	.btn-primary:active,
	.btn-primary.active,
	.open > .dropdown-toggle.btn-primary {
	background-image: none;
	}
	.btn-primary.disabled:hover,
	.btn-primary[disabled]:hover,
	fieldset[disabled] .btn-primary:hover,
	.btn-primary.disabled:focus,
	.btn-primary[disabled]:focus,
	fieldset[disabled] .btn-primary:focus,
	.btn-primary.disabled.focus,
	.btn-primary[disabled].focus,
	fieldset[disabled] .btn-primary.focus {
	background-color: #337ab7;
	border-color: #2e6da4;
	}
	.btn-primary .badge {
	color: #337ab7;
	background-color: #fff;
	}
	.btn-success {
	color: #fff;
	background-color: #5cb85c;
	border-color: #4cae4c;
	}
	.btn-success:focus,
	.btn-success.focus {
	color: #fff;
	background-color: #449d44;
	border-color: #255625;
	}
	.btn-success:hover {
	color: #fff;
	background-color: #449d44;
	border-color: #398439;
	}
	.btn-success:active,
	.btn-success.active,
	.open > .dropdown-toggle.btn-success {
	color: #fff;
	background-color: #449d44;
	border-color: #398439;
	}
	.btn-success:active:hover,
	.btn-success.active:hover,
	.open > .dropdown-toggle.btn-success:hover,
	.btn-success:active:focus,
	.btn-success.active:focus,
	.open > .dropdown-toggle.btn-success:focus,
	.btn-success:active.focus,
	.btn-success.active.focus,
	.open > .dropdown-toggle.btn-success.focus {
	color: #fff;
	background-color: #398439;
	border-color: #255625;
	}
	.btn-success:active,
	.btn-success.active,
	.open > .dropdown-toggle.btn-success {
	background-image: none;
	}
	.btn-success.disabled:hover,
	.btn-success[disabled]:hover,
	fieldset[disabled] .btn-success:hover,
	.btn-success.disabled:focus,
	.btn-success[disabled]:focus,
	fieldset[disabled] .btn-success:focus,
	.btn-success.disabled.focus,
	.btn-success[disabled].focus,
	fieldset[disabled] .btn-success.focus {
	background-color: #5cb85c;
	border-color: #4cae4c;
	}
	.btn-success .badge {
	color: #5cb85c;
	background-color: #fff;
	}
	.btn-info {
	color: #fff;
	background-color: #5bc0de;
	border-color: #46b8da;
	}
	.btn-info:focus,
	.btn-info.focus {
	color: #fff;
	background-color: #31b0d5;
	border-color: #1b6d85;
	}
	.btn-info:hover {
	color: #fff;
	background-color: #31b0d5;
	border-color: #269abc;
	}
	.btn-info:active,
	.btn-info.active,
	.open > .dropdown-toggle.btn-info {
	color: #fff;
	background-color: #31b0d5;
	border-color: #269abc;
	}
	.btn-info:active:hover,
	.btn-info.active:hover,
	.open > .dropdown-toggle.btn-info:hover,
	.btn-info:active:focus,
	.btn-info.active:focus,
	.open > .dropdown-toggle.btn-info:focus,
	.btn-info:active.focus,
	.btn-info.active.focus,
	.open > .dropdown-toggle.btn-info.focus {
	color: #fff;
	background-color: #269abc;
	border-color: #1b6d85;
	}
	.btn-info:active,
	.btn-info.active,
	.open > .dropdown-toggle.btn-info {
	background-image: none;
	}
	.btn-info.disabled:hover,
	.btn-info[disabled]:hover,
	fieldset[disabled] .btn-info:hover,
	.btn-info.disabled:focus,
	.btn-info[disabled]:focus,
	fieldset[disabled] .btn-info:focus,
	.btn-info.disabled.focus,
	.btn-info[disabled].focus,
	fieldset[disabled] .btn-info.focus {
	background-color: #5bc0de;
	border-color: #46b8da;
	}
	.btn-info .badge {
	color: #5bc0de;
	background-color: #fff;
	}
	.btn-warning {
	color: #fff;
	background-color: #f0ad4e;
	border-color: #eea236;
	}
	.btn-warning:focus,
	.btn-warning.focus {
	color: #fff;
	background-color: #ec971f;
	border-color: #985f0d;
	}
	.btn-warning:hover {
	color: #fff;
	background-color: #ec971f;
	border-color: #d58512;
	}
	.btn-warning:active,
	.btn-warning.active,
	.open > .dropdown-toggle.btn-warning {
	color: #fff;
	background-color: #ec971f;
	border-color: #d58512;
	}
	.btn-warning:active:hover,
	.btn-warning.active:hover,
	.open > .dropdown-toggle.btn-warning:hover,
	.btn-warning:active:focus,
	.btn-warning.active:focus,
	.open > .dropdown-toggle.btn-warning:focus,
	.btn-warning:active.focus,
	.btn-warning.active.focus,
	.open > .dropdown-toggle.btn-warning.focus {
	color: #fff;
	background-color: #d58512;
	border-color: #985f0d;
	}
	.btn-warning:active,
	.btn-warning.active,
	.open > .dropdown-toggle.btn-warning {
	background-image: none;
	}
	.btn-warning.disabled:hover,
	.btn-warning[disabled]:hover,
	fieldset[disabled] .btn-warning:hover,
	.btn-warning.disabled:focus,
	.btn-warning[disabled]:focus,
	fieldset[disabled] .btn-warning:focus,
	.btn-warning.disabled.focus,
	.btn-warning[disabled].focus,
	fieldset[disabled] .btn-warning.focus {
	background-color: #f0ad4e;
	border-color: #eea236;
	}
	.btn-warning .badge {
	color: #f0ad4e;
	background-color: #fff;
	}
	.btn-danger {
	color: #fff;
	background-color: #d9534f;
	border-color: #d43f3a;
	}
	.btn-danger:focus,
	.btn-danger.focus {
	color: #fff;
	background-color: #c9302c;
	border-color: #761c19;
	}
	.btn-danger:hover {
	color: #fff;
	background-color: #c9302c;
	border-color: #ac2925;
	}
	.btn-danger:active,
	.btn-danger.active,
	.open > .dropdown-toggle.btn-danger {
	color: #fff;
	background-color: #c9302c;
	border-color: #ac2925;
	}
	.btn-danger:active:hover,
	.btn-danger.active:hover,
	.open > .dropdown-toggle.btn-danger:hover,
	.btn-danger:active:focus,
	.btn-danger.active:focus,
	.open > .dropdown-toggle.btn-danger:focus,
	.btn-danger:active.focus,
	.btn-danger.active.focus,
	.open > .dropdown-toggle.btn-danger.focus {
	color: #fff;
	background-color: #ac2925;
	border-color: #761c19;
	}
	.btn-danger:active,
	.btn-danger.active,
	.open > .dropdown-toggle.btn-danger {
	background-image: none;
	}
	.btn-danger.disabled:hover,
	.btn-danger[disabled]:hover,
	fieldset[disabled] .btn-danger:hover,
	.btn-danger.disabled:focus,
	.btn-danger[disabled]:focus,
	fieldset[disabled] .btn-danger:focus,
	.btn-danger.disabled.focus,
	.btn-danger[disabled].focus,
	fieldset[disabled] .btn-danger.focus {
	background-color: #d9534f;
	border-color: #d43f3a;
	}
	.btn-danger .badge {
	color: #d9534f;
	background-color: #fff;
	}
	.btn-link {
	color: #337ab7;
	font-weight: normal;
	border-radius: 0;
	}
	.btn-link,
	.btn-link:active,
	.btn-link.active,
	.btn-link[disabled],
	fieldset[disabled] .btn-link {
	background-color: transparent;
	-webkit-box-shadow: none;
	box-shadow: none;
	}
	.btn-link,
	.btn-link:hover,
	.btn-link:focus,
	.btn-link:active {
	border-color: transparent;
	}
	.btn-link:hover,
	.btn-link:focus {
	color: #23527c;
	text-decoration: underline;
	background-color: transparent;
	}
	.btn-link[disabled]:hover,
	fieldset[disabled] .btn-link:hover,
	.btn-link[disabled]:focus,
	fieldset[disabled] .btn-link:focus {
	color: #777777;
	text-decoration: none;
	}
	.btn-lg,
	.btn-group-lg > .btn {
	padding: 10px 16px;
	font-size: 17px;
	line-height: 1.3333333;
	border-radius: 3px;
	}
	.btn-sm,
	.btn-group-sm > .btn {
	padding: 5px 10px;
	font-size: 12px;
	line-height: 1.5;
	border-radius: 1px;
	}
	.btn-xs,
	.btn-group-xs > .btn {
	padding: 1px 5px;
	font-size: 12px;
	line-height: 1.5;
	border-radius: 1px;
	}
	.btn-block {
	display: block;
	width: 100%;
	}
	.btn-block + .btn-block {
	margin-top: 5px;
	}
	input[type="submit"].btn-block,
	input[type="reset"].btn-block,
	input[type="button"].btn-block {
	width: 100%;
	}
	.fade {
	opacity: 0;
	-webkit-transition: opacity 0.15s linear;
	-o-transition: opacity 0.15s linear;
	transition: opacity 0.15s linear;
	}
	.fade.in {
	opacity: 1;
	}
	.collapse {
	display: none;
	}
	.collapse.in {
	display: block;
	}
	tr.collapse.in {
	display: table-row;
	}
	tbody.collapse.in {
	display: table-row-group;
	}
	.collapsing {
	position: relative;
	height: 0;
	overflow: hidden;
	-webkit-transition-property: height, visibility;
	transition-property: height, visibility;
	-webkit-transition-duration: 0.35s;
	transition-duration: 0.35s;
	-webkit-transition-timing-function: ease;
	transition-timing-function: ease;
	}
	.caret {
	display: inline-block;
	width: 0;
	height: 0;
	margin-left: 2px;
	vertical-align: middle;
	border-top: 4px dashed;
	border-top: 4px solid \9;
	border-right: 4px solid transparent;
	border-left: 4px solid transparent;
	}
	.dropup,
	.dropdown {
	position: relative;
	}
	.dropdown-toggle:focus {
	outline: 0;
	}
	.dropdown-menu {
	position: absolute;
	top: 100%;
	left: 0;
	z-index: 1000;
	display: none;
	float: left;
	min-width: 160px;
	padding: 5px 0;
	margin: 2px 0 0;
	list-style: none;
	font-size: 13px;
	text-align: left;
	background-color: #fff;
	border: 1px solid #ccc;
	border: 1px solid rgba(0, 0, 0, 0.15);
	border-radius: 2px;
	-webkit-box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);
	box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);
	background-clip: padding-box;
	}
	.dropdown-menu.pull-right {
	right: 0;
	left: auto;
	}
	.dropdown-menu .divider {
	height: 1px;
	margin: 8px 0;
	overflow: hidden;
	background-color: #e5e5e5;
	}
	.dropdown-menu > li > a {
	display: block;
	padding: 3px 20px;
	clear: both;
	font-weight: normal;
	line-height: 1.42857143;
	color: #333333;
	white-space: nowrap;
	}
	.dropdown-menu > li > a:hover,
	.dropdown-menu > li > a:focus {
	text-decoration: none;
	color: #262626;
	background-color: #f5f5f5;
	}
	.dropdown-menu > .active > a,
	.dropdown-menu > .active > a:hover,
	.dropdown-menu > .active > a:focus {
	color: #fff;
	text-decoration: none;
	outline: 0;
	background-color: #337ab7;
	}
	.dropdown-menu > .disabled > a,
	.dropdown-menu > .disabled > a:hover,
	.dropdown-menu > .disabled > a:focus {
	color: #777777;
	}
	.dropdown-menu > .disabled > a:hover,
	.dropdown-menu > .disabled > a:focus {
	text-decoration: none;
	background-color: transparent;
	background-image: none;
	filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);
	cursor: not-allowed;
	}
	.open > .dropdown-menu {
	display: block;
	}
	.open > a {
	outline: 0;
	}
	.dropdown-menu-right {
	left: auto;
	right: 0;
	}
	.dropdown-menu-left {
	left: 0;
	right: auto;
	}
	.dropdown-header {
	display: block;
	padding: 3px 20px;
	font-size: 12px;
	line-height: 1.42857143;
	color: #777777;
	white-space: nowrap;
	}
	.dropdown-backdrop {
	position: fixed;
	left: 0;
	right: 0;
	bottom: 0;
	top: 0;
	z-index: 990;
	}
	.pull-right > .dropdown-menu {
	right: 0;
	left: auto;
	}
	.dropup .caret,
	.navbar-fixed-bottom .dropdown .caret {
	border-top: 0;
	border-bottom: 4px dashed;
	border-bottom: 4px solid \9;
	content: "";
	}
	.dropup .dropdown-menu,
	.navbar-fixed-bottom .dropdown .dropdown-menu {
	top: auto;
	bottom: 100%;
	margin-bottom: 2px;
	}
	@media (min-width: 541px) {
	.navbar-right .dropdown-menu {
	left: auto;
	right: 0;
	}
	.navbar-right .dropdown-menu-left {
	left: 0;
	right: auto;
	}
	}
	.btn-group,
	.btn-group-vertical {
	position: relative;
	display: inline-block;
	vertical-align: middle;
	}
	.btn-group > .btn,
	.btn-group-vertical > .btn {
	position: relative;
	float: left;
	}
	.btn-group > .btn:hover,
	.btn-group-vertical > .btn:hover,
	.btn-group > .btn:focus,
	.btn-group-vertical > .btn:focus,
	.btn-group > .btn:active,
	.btn-group-vertical > .btn:active,
	.btn-group > .btn.active,
	.btn-group-vertical > .btn.active {
	z-index: 2;
	}
	.btn-group .btn + .btn,
	.btn-group .btn + .btn-group,
	.btn-group .btn-group + .btn,
	.btn-group .btn-group + .btn-group {
	margin-left: -1px;
	}
	.btn-toolbar {
	margin-left: -5px;
	}
	.btn-toolbar .btn,
	.btn-toolbar .btn-group,
	.btn-toolbar .input-group {
	float: left;
	}
	.btn-toolbar > .btn,
	.btn-toolbar > .btn-group,
	.btn-toolbar > .input-group {
	margin-left: 5px;
	}
	.btn-group > .btn:not(:first-child):not(:last-child):not(.dropdown-toggle) {
	border-radius: 0;
	}
	.btn-group > .btn:first-child {
	margin-left: 0;
	}
	.btn-group > .btn:first-child:not(:last-child):not(.dropdown-toggle) {
	border-bottom-right-radius: 0;
	border-top-right-radius: 0;
	}
	.btn-group > .btn:last-child:not(:first-child),
	.btn-group > .dropdown-toggle:not(:first-child) {
	border-bottom-left-radius: 0;
	border-top-left-radius: 0;
	}
	.btn-group > .btn-group {
	float: left;
	}
	.btn-group > .btn-group:not(:first-child):not(:last-child) > .btn {
	border-radius: 0;
	}
	.btn-group > .btn-group:first-child:not(:last-child) > .btn:last-child,
	.btn-group > .btn-group:first-child:not(:last-child) > .dropdown-toggle {
	border-bottom-right-radius: 0;
	border-top-right-radius: 0;
	}
	.btn-group > .btn-group:last-child:not(:first-child) > .btn:first-child {
	border-bottom-left-radius: 0;
	border-top-left-radius: 0;
	}
	.btn-group .dropdown-toggle:active,
	.btn-group.open .dropdown-toggle {
	outline: 0;
	}
	.btn-group > .btn + .dropdown-toggle {
	padding-left: 8px;
	padding-right: 8px;
	}
	.btn-group > .btn-lg + .dropdown-toggle {
	padding-left: 12px;
	padding-right: 12px;
	}
	.btn-group.open .dropdown-toggle {
	-webkit-box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);
	box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);
	}
	.btn-group.open .dropdown-toggle.btn-link {
	-webkit-box-shadow: none;
	box-shadow: none;
	}
	.btn .caret {
	margin-left: 0;
	}
	.btn-lg .caret {
	border-width: 5px 5px 0;
	border-bottom-width: 0;
	}
	.dropup .btn-lg .caret {
	border-width: 0 5px 5px;
	}
	.btn-group-vertical > .btn,
	.btn-group-vertical > .btn-group,
	.btn-group-vertical > .btn-group > .btn {
	display: block;
	float: none;
	width: 100%;
	max-width: 100%;
	}
	.btn-group-vertical > .btn-group > .btn {
	float: none;
	}
	.btn-group-vertical > .btn + .btn,
	.btn-group-vertical > .btn + .btn-group,
	.btn-group-vertical > .btn-group + .btn,
	.btn-group-vertical > .btn-group + .btn-group {
	margin-top: -1px;
	margin-left: 0;
	}
	.btn-group-vertical > .btn:not(:first-child):not(:last-child) {
	border-radius: 0;
	}
	.btn-group-vertical > .btn:first-child:not(:last-child) {
	border-top-right-radius: 2px;
	border-top-left-radius: 2px;
	border-bottom-right-radius: 0;
	border-bottom-left-radius: 0;
	}
	.btn-group-vertical > .btn:last-child:not(:first-child) {
	border-top-right-radius: 0;
	border-top-left-radius: 0;
	border-bottom-right-radius: 2px;
	border-bottom-left-radius: 2px;
	}
	.btn-group-vertical > .btn-group:not(:first-child):not(:last-child) > .btn {
	border-radius: 0;
	}
	.btn-group-vertical > .btn-group:first-child:not(:last-child) > .btn:last-child,
	.btn-group-vertical > .btn-group:first-child:not(:last-child) > .dropdown-toggle {
	border-bottom-right-radius: 0;
	border-bottom-left-radius: 0;
	}
	.btn-group-vertical > .btn-group:last-child:not(:first-child) > .btn:first-child {
	border-top-right-radius: 0;
	border-top-left-radius: 0;
	}
	.btn-group-justified {
	display: table;
	width: 100%;
	table-layout: fixed;
	border-collapse: separate;
	}
	.btn-group-justified > .btn,
	.btn-group-justified > .btn-group {
	float: none;
	display: table-cell;
	width: 1%;
	}
	.btn-group-justified > .btn-group .btn {
	width: 100%;
	}
	.btn-group-justified > .btn-group .dropdown-menu {
	left: auto;
	}
	[data-toggle="buttons"] > .btn input[type="radio"],
	[data-toggle="buttons"] > .btn-group > .btn input[type="radio"],
	[data-toggle="buttons"] > .btn input[type="checkbox"],
	[data-toggle="buttons"] > .btn-group > .btn input[type="checkbox"] {
	position: absolute;
	clip: rect(0, 0, 0, 0);
	pointer-events: none;
	}
	.input-group {
	position: relative;
	display: table;
	border-collapse: separate;
	}
	.input-group[class*="col-"] {
	float: none;
	padding-left: 0;
	padding-right: 0;
	}
	.input-group .form-control {
	position: relative;
	z-index: 2;
	float: left;
	width: 100%;
	margin-bottom: 0;
	}
	.input-group .form-control:focus {
	z-index: 3;
	}
	.input-group-lg > .form-control,
	.input-group-lg > .input-group-addon,
	.input-group-lg > .input-group-btn > .btn {
	height: 45px;
	padding: 10px 16px;
	font-size: 17px;
	line-height: 1.3333333;
	border-radius: 3px;
	}
	select.input-group-lg > .form-control,
	select.input-group-lg > .input-group-addon,
	select.input-group-lg > .input-group-btn > .btn {
	height: 45px;
	line-height: 45px;
	}
	textarea.input-group-lg > .form-control,
	textarea.input-group-lg > .input-group-addon,
	textarea.input-group-lg > .input-group-btn > .btn,
	select[multiple].input-group-lg > .form-control,
	select[multiple].input-group-lg > .input-group-addon,
	select[multiple].input-group-lg > .input-group-btn > .btn {
	height: auto;
	}
	.input-group-sm > .form-control,
	.input-group-sm > .input-group-addon,
	.input-group-sm > .input-group-btn > .btn {
	height: 30px;
	padding: 5px 10px;
	font-size: 12px;
	line-height: 1.5;
	border-radius: 1px;
	}
	select.input-group-sm > .form-control,
	select.input-group-sm > .input-group-addon,
	select.input-group-sm > .input-group-btn > .btn {
	height: 30px;
	line-height: 30px;
	}
	textarea.input-group-sm > .form-control,
	textarea.input-group-sm > .input-group-addon,
	textarea.input-group-sm > .input-group-btn > .btn,
	select[multiple].input-group-sm > .form-control,
	select[multiple].input-group-sm > .input-group-addon,
	select[multiple].input-group-sm > .input-group-btn > .btn {
	height: auto;
	}
	.input-group-addon,
	.input-group-btn,
	.input-group .form-control {
	display: table-cell;
	}
	.input-group-addon:not(:first-child):not(:last-child),
	.input-group-btn:not(:first-child):not(:last-child),
	.input-group .form-control:not(:first-child):not(:last-child) {
	border-radius: 0;
	}
	.input-group-addon,
	.input-group-btn {
	width: 1%;
	white-space: nowrap;
	vertical-align: middle;
	}
	.input-group-addon {
	padding: 6px 12px;
	font-size: 13px;
	font-weight: normal;
	line-height: 1;
	color: #555555;
	text-align: center;
	background-color: #eeeeee;
	border: 1px solid #ccc;
	border-radius: 2px;
	}
	.input-group-addon.input-sm {
	padding: 5px 10px;
	font-size: 12px;
	border-radius: 1px;
	}
	.input-group-addon.input-lg {
	padding: 10px 16px;
	font-size: 17px;
	border-radius: 3px;
	}
	.input-group-addon input[type="radio"],
	.input-group-addon input[type="checkbox"] {
	margin-top: 0;
	}
	.input-group .form-control:first-child,
	.input-group-addon:first-child,
	.input-group-btn:first-child > .btn,
	.input-group-btn:first-child > .btn-group > .btn,
	.input-group-btn:first-child > .dropdown-toggle,
	.input-group-btn:last-child > .btn:not(:last-child):not(.dropdown-toggle),
	.input-group-btn:last-child > .btn-group:not(:last-child) > .btn {
	border-bottom-right-radius: 0;
	border-top-right-radius: 0;
	}
	.input-group-addon:first-child {
	border-right: 0;
	}
	.input-group .form-control:last-child,
	.input-group-addon:last-child,
	.input-group-btn:last-child > .btn,
	.input-group-btn:last-child > .btn-group > .btn,
	.input-group-btn:last-child > .dropdown-toggle,
	.input-group-btn:first-child > .btn:not(:first-child),
	.input-group-btn:first-child > .btn-group:not(:first-child) > .btn {
	border-bottom-left-radius: 0;
	border-top-left-radius: 0;
	}
	.input-group-addon:last-child {
	border-left: 0;
	}
	.input-group-btn {
	position: relative;
	font-size: 0;
	white-space: nowrap;
	}
	.input-group-btn > .btn {
	position: relative;
	}
	.input-group-btn > .btn + .btn {
	margin-left: -1px;
	}
	.input-group-btn > .btn:hover,
	.input-group-btn > .btn:focus,
	.input-group-btn > .btn:active {
	z-index: 2;
	}
	.input-group-btn:first-child > .btn,
	.input-group-btn:first-child > .btn-group {
	margin-right: -1px;
	}
	.input-group-btn:last-child > .btn,
	.input-group-btn:last-child > .btn-group {
	z-index: 2;
	margin-left: -1px;
	}
	.nav {
	margin-bottom: 0;
	padding-left: 0;
	list-style: none;
	}
	.nav > li {
	position: relative;
	display: block;
	}
	.nav > li > a {
	position: relative;
	display: block;
	padding: 10px 15px;
	}
	.nav > li > a:hover,
	.nav > li > a:focus {
	text-decoration: none;
	background-color: #eeeeee;
	}
	.nav > li.disabled > a {
	color: #777777;
	}
	.nav > li.disabled > a:hover,
	.nav > li.disabled > a:focus {
	color: #777777;
	text-decoration: none;
	background-color: transparent;
	cursor: not-allowed;
	}
	.nav .open > a,
	.nav .open > a:hover,
	.nav .open > a:focus {
	background-color: #eeeeee;
	border-color: #337ab7;
	}
	.nav .nav-divider {
	height: 1px;
	margin: 8px 0;
	overflow: hidden;
	background-color: #e5e5e5;
	}
	.nav > li > a > img {
	max-width: none;
	}
	.nav-tabs {
	border-bottom: 1px solid #ddd;
	}
	.nav-tabs > li {
	float: left;
	margin-bottom: -1px;
	}
	.nav-tabs > li > a {
	margin-right: 2px;
	line-height: 1.42857143;
	border: 1px solid transparent;
	border-radius: 2px 2px 0 0;
	}
	.nav-tabs > li > a:hover {
	border-color: #eeeeee #eeeeee #ddd;
	}
	.nav-tabs > li.active > a,
	.nav-tabs > li.active > a:hover,
	.nav-tabs > li.active > a:focus {
	color: #555555;
	background-color: #fff;
	border: 1px solid #ddd;
	border-bottom-color: transparent;
	cursor: default;
	}
	.nav-tabs.nav-justified {
	width: 100%;
	border-bottom: 0;
	}
	.nav-tabs.nav-justified > li {
	float: none;
	}
	.nav-tabs.nav-justified > li > a {
	text-align: center;
	margin-bottom: 5px;
	}
	.nav-tabs.nav-justified > .dropdown .dropdown-menu {
	top: auto;
	left: auto;
	}
	@media (min-width: 768px) {
	.nav-tabs.nav-justified > li {
	display: table-cell;
	width: 1%;
	}
	.nav-tabs.nav-justified > li > a {
	margin-bottom: 0;
	}
	}
	.nav-tabs.nav-justified > li > a {
	margin-right: 0;
	border-radius: 2px;
	}
	.nav-tabs.nav-justified > .active > a,
	.nav-tabs.nav-justified > .active > a:hover,
	.nav-tabs.nav-justified > .active > a:focus {
	border: 1px solid #ddd;
	}
	@media (min-width: 768px) {
	.nav-tabs.nav-justified > li > a {
	border-bottom: 1px solid #ddd;
	border-radius: 2px 2px 0 0;
	}
	.nav-tabs.nav-justified > .active > a,
	.nav-tabs.nav-justified > .active > a:hover,
	.nav-tabs.nav-justified > .active > a:focus {
	border-bottom-color: #fff;
	}
	}
	.nav-pills > li {
	float: left;
	}
	.nav-pills > li > a {
	border-radius: 2px;
	}
	.nav-pills > li + li {
	margin-left: 2px;
	}
	.nav-pills > li.active > a,
	.nav-pills > li.active > a:hover,
	.nav-pills > li.active > a:focus {
	color: #fff;
	background-color: #337ab7;
	}
	.nav-stacked > li {
	float: none;
	}
	.nav-stacked > li + li {
	margin-top: 2px;
	margin-left: 0;
	}
	.nav-justified {
	width: 100%;
	}
	.nav-justified > li {
	float: none;
	}
	.nav-justified > li > a {
	text-align: center;
	margin-bottom: 5px;
	}
	.nav-justified > .dropdown .dropdown-menu {
	top: auto;
	left: auto;
	}
	@media (min-width: 768px) {
	.nav-justified > li {
	display: table-cell;
	width: 1%;
	}
	.nav-justified > li > a {
	margin-bottom: 0;
	}
	}
	.nav-tabs-justified {
	border-bottom: 0;
	}
	.nav-tabs-justified > li > a {
	margin-right: 0;
	border-radius: 2px;
	}
	.nav-tabs-justified > .active > a,
	.nav-tabs-justified > .active > a:hover,
	.nav-tabs-justified > .active > a:focus {
	border: 1px solid #ddd;
	}
	@media (min-width: 768px) {
	.nav-tabs-justified > li > a {
	border-bottom: 1px solid #ddd;
	border-radius: 2px 2px 0 0;
	}
	.nav-tabs-justified > .active > a,
	.nav-tabs-justified > .active > a:hover,
	.nav-tabs-justified > .active > a:focus {
	border-bottom-color: #fff;
	}
	}
	.tab-content > .tab-pane {
	display: none;
	}
	.tab-content > .active {
	display: block;
	}
	.nav-tabs .dropdown-menu {
	margin-top: -1px;
	border-top-right-radius: 0;
	border-top-left-radius: 0;
	}
	.navbar {
	position: relative;
	min-height: 30px;
	margin-bottom: 18px;
	border: 1px solid transparent;
	}
	@media (min-width: 541px) {
	.navbar {
	border-radius: 2px;
	}
	}
	@media (min-width: 541px) {
	.navbar-header {
	float: left;
	}
	}
	.navbar-collapse {
	overflow-x: visible;
	padding-right: 0px;
	padding-left: 0px;
	border-top: 1px solid transparent;
	box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1);
	-webkit-overflow-scrolling: touch;
	}
	.navbar-collapse.in {
	overflow-y: auto;
	}
	@media (min-width: 541px) {
	.navbar-collapse {
	width: auto;
	border-top: 0;
	box-shadow: none;
	}
	.navbar-collapse.collapse {
	display: block !important;
	height: auto !important;
	padding-bottom: 0;
	overflow: visible !important;
	}
	.navbar-collapse.in {
	overflow-y: visible;
	}
	.navbar-fixed-top .navbar-collapse,
	.navbar-static-top .navbar-collapse,
	.navbar-fixed-bottom .navbar-collapse {
	padding-left: 0;
	padding-right: 0;
	}
	}
	.navbar-fixed-top .navbar-collapse,
	.navbar-fixed-bottom .navbar-collapse {
	max-height: 340px;
	}
	@media (max-device-width: 540px) and (orientation: landscape) {
	.navbar-fixed-top .navbar-collapse,
	.navbar-fixed-bottom .navbar-collapse {
	max-height: 200px;
	}
	}
	.container > .navbar-header,
	.container-fluid > .navbar-header,
	.container > .navbar-collapse,
	.container-fluid > .navbar-collapse {
	margin-right: 0px;
	margin-left: 0px;
	}
	@media (min-width: 541px) {
	.container > .navbar-header,
	.container-fluid > .navbar-header,
	.container > .navbar-collapse,
	.container-fluid > .navbar-collapse {
	margin-right: 0;
	margin-left: 0;
	}
	}
	.navbar-static-top {
	z-index: 1000;
	border-width: 0 0 1px;
	}
	@media (min-width: 541px) {
	.navbar-static-top {
	border-radius: 0;
	}
	}
	.navbar-fixed-top,
	.navbar-fixed-bottom {
	position: fixed;
	right: 0;
	left: 0;
	z-index: 1030;
	}
	@media (min-width: 541px) {
	.navbar-fixed-top,
	.navbar-fixed-bottom {
	border-radius: 0;
	}
	}
	.navbar-fixed-top {
	top: 0;
	border-width: 0 0 1px;
	}
	.navbar-fixed-bottom {
	bottom: 0;
	margin-bottom: 0;
	border-width: 1px 0 0;
	}
	.navbar-brand {
	float: left;
	padding: 6px 0px;
	font-size: 17px;
	line-height: 18px;
	height: 30px;
	}
	.navbar-brand:hover,
	.navbar-brand:focus {
	text-decoration: none;
	}
	.navbar-brand > img {
	display: block;
	}
	@media (min-width: 541px) {
	.navbar > .container .navbar-brand,
	.navbar > .container-fluid .navbar-brand {
	margin-left: 0px;
	}
	}
	.navbar-toggle {
	position: relative;
	float: right;
	margin-right: 0px;
	padding: 9px 10px;
	margin-top: -2px;
	margin-bottom: -2px;
	background-color: transparent;
	background-image: none;
	border: 1px solid transparent;
	border-radius: 2px;
	}
	.navbar-toggle:focus {
	outline: 0;
	}
	.navbar-toggle .icon-bar {
	display: block;
	width: 22px;
	height: 2px;
	border-radius: 1px;
	}
	.navbar-toggle .icon-bar + .icon-bar {
	margin-top: 4px;
	}
	@media (min-width: 541px) {
	.navbar-toggle {
	display: none;
	}
	}
	.navbar-nav {
	margin: 3px 0px;
	}
	.navbar-nav > li > a {
	padding-top: 10px;
	padding-bottom: 10px;
	line-height: 18px;
	}
	@media (max-width: 540px) {
	.navbar-nav .open .dropdown-menu {
	position: static;
	float: none;
	width: auto;
	margin-top: 0;
	background-color: transparent;
	border: 0;
	box-shadow: none;
	}
	.navbar-nav .open .dropdown-menu > li > a,
	.navbar-nav .open .dropdown-menu .dropdown-header {
	padding: 5px 15px 5px 25px;
	}
	.navbar-nav .open .dropdown-menu > li > a {
	line-height: 18px;
	}
	.navbar-nav .open .dropdown-menu > li > a:hover,
	.navbar-nav .open .dropdown-menu > li > a:focus {
	background-image: none;
	}
	}
	@media (min-width: 541px) {
	.navbar-nav {
	float: left;
	margin: 0;
	}
	.navbar-nav > li {
	float: left;
	}
	.navbar-nav > li > a {
	padding-top: 6px;
	padding-bottom: 6px;
	}
	}
	.navbar-form {
	margin-left: 0px;
	margin-right: 0px;
	padding: 10px 0px;
	border-top: 1px solid transparent;
	border-bottom: 1px solid transparent;
	-webkit-box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1), 0 1px 0 rgba(255, 255, 255, 0.1);
	box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1), 0 1px 0 rgba(255, 255, 255, 0.1);
	margin-top: -1px;
	margin-bottom: -1px;
	}
	@media (min-width: 768px) {
	.navbar-form .form-group {
	display: inline-block;
	margin-bottom: 0;
	vertical-align: middle;
	}
	.navbar-form .form-control {
	display: inline-block;
	width: auto;
	vertical-align: middle;
	}
	.navbar-form .form-control-static {
	display: inline-block;
	}
	.navbar-form .input-group {
	display: inline-table;
	vertical-align: middle;
	}
	.navbar-form .input-group .input-group-addon,
	.navbar-form .input-group .input-group-btn,
	.navbar-form .input-group .form-control {
	width: auto;
	}
	.navbar-form .input-group > .form-control {
	width: 100%;
	}
	.navbar-form .control-label {
	margin-bottom: 0;
	vertical-align: middle;
	}
	.navbar-form .radio,
	.navbar-form .checkbox {
	display: inline-block;
	margin-top: 0;
	margin-bottom: 0;
	vertical-align: middle;
	}
	.navbar-form .radio label,
	.navbar-form .checkbox label {
	padding-left: 0;
	}
	.navbar-form .radio input[type="radio"],
	.navbar-form .checkbox input[type="checkbox"] {
	position: relative;
	margin-left: 0;
	}
	.navbar-form .has-feedback .form-control-feedback {
	top: 0;
	}
	}
	@media (max-width: 540px) {
	.navbar-form .form-group {
	margin-bottom: 5px;
	}
	.navbar-form .form-group:last-child {
	margin-bottom: 0;
	}
	}
	@media (min-width: 541px) {
	.navbar-form {
	width: auto;
	border: 0;
	margin-left: 0;
	margin-right: 0;
	padding-top: 0;
	padding-bottom: 0;
	-webkit-box-shadow: none;
	box-shadow: none;
	}
	}
	.navbar-nav > li > .dropdown-menu {
	margin-top: 0;
	border-top-right-radius: 0;
	border-top-left-radius: 0;
	}
	.navbar-fixed-bottom .navbar-nav > li > .dropdown-menu {
	margin-bottom: 0;
	border-top-right-radius: 2px;
	border-top-left-radius: 2px;
	border-bottom-right-radius: 0;
	border-bottom-left-radius: 0;
	}
	.navbar-btn {
	margin-top: -1px;
	margin-bottom: -1px;
	}
	.navbar-btn.btn-sm {
	margin-top: 0px;
	margin-bottom: 0px;
	}
	.navbar-btn.btn-xs {
	margin-top: 4px;
	margin-bottom: 4px;
	}
	.navbar-text {
	margin-top: 6px;
	margin-bottom: 6px;
	}
	@media (min-width: 541px) {
	.navbar-text {
	float: left;
	margin-left: 0px;
	margin-right: 0px;
	}
	}
	@media (min-width: 541px) {
	.navbar-left {
	float: left !important;
	float: left;
	}
	.navbar-right {
	float: right !important;
	float: right;
	margin-right: 0px;
	}
	.navbar-right ~ .navbar-right {
	margin-right: 0;
	}
	}
	.navbar-default {
	background-color: #f8f8f8;
	border-color: #e7e7e7;
	}
	.navbar-default .navbar-brand {
	color: #777;
	}
	.navbar-default .navbar-brand:hover,
	.navbar-default .navbar-brand:focus {
	color: #5e5e5e;
	background-color: transparent;
	}
	.navbar-default .navbar-text {
	color: #777;
	}
	.navbar-default .navbar-nav > li > a {
	color: #777;
	}
	.navbar-default .navbar-nav > li > a:hover,
	.navbar-default .navbar-nav > li > a:focus {
	color: #333;
	background-color: transparent;
	}
	.navbar-default .navbar-nav > .active > a,
	.navbar-default .navbar-nav > .active > a:hover,
	.navbar-default .navbar-nav > .active > a:focus {
	color: #555;
	background-color: #e7e7e7;
	}
	.navbar-default .navbar-nav > .disabled > a,
	.navbar-default .navbar-nav > .disabled > a:hover,
	.navbar-default .navbar-nav > .disabled > a:focus {
	color: #ccc;
	background-color: transparent;
	}
	.navbar-default .navbar-toggle {
	border-color: #ddd;
	}
	.navbar-default .navbar-toggle:hover,
	.navbar-default .navbar-toggle:focus {
	background-color: #ddd;
	}
	.navbar-default .navbar-toggle .icon-bar {
	background-color: #888;
	}
	.navbar-default .navbar-collapse,
	.navbar-default .navbar-form {
	border-color: #e7e7e7;
	}
	.navbar-default .navbar-nav > .open > a,
	.navbar-default .navbar-nav > .open > a:hover,
	.navbar-default .navbar-nav > .open > a:focus {
	background-color: #e7e7e7;
	color: #555;
	}
	@media (max-width: 540px) {
	.navbar-default .navbar-nav .open .dropdown-menu > li > a {
	color: #777;
	}
	.navbar-default .navbar-nav .open .dropdown-menu > li > a:hover,
	.navbar-default .navbar-nav .open .dropdown-menu > li > a:focus {
	color: #333;
	background-color: transparent;
	}
	.navbar-default .navbar-nav .open .dropdown-menu > .active > a,
	.navbar-default .navbar-nav .open .dropdown-menu > .active > a:hover,
	.navbar-default .navbar-nav .open .dropdown-menu > .active > a:focus {
	color: #555;
	background-color: #e7e7e7;
	}
	.navbar-default .navbar-nav .open .dropdown-menu > .disabled > a,
	.navbar-default .navbar-nav .open .dropdown-menu > .disabled > a:hover,
	.navbar-default .navbar-nav .open .dropdown-menu > .disabled > a:focus {
	color: #ccc;
	background-color: transparent;
	}
	}
	.navbar-default .navbar-link {
	color: #777;
	}
	.navbar-default .navbar-link:hover {
	color: #333;
	}
	.navbar-default .btn-link {
	color: #777;
	}
	.navbar-default .btn-link:hover,
	.navbar-default .btn-link:focus {
	color: #333;
	}
	.navbar-default .btn-link[disabled]:hover,
	fieldset[disabled] .navbar-default .btn-link:hover,
	.navbar-default .btn-link[disabled]:focus,
	fieldset[disabled] .navbar-default .btn-link:focus {
	color: #ccc;
	}
	.navbar-inverse {
	background-color: #222;
	border-color: #080808;
	}
	.navbar-inverse .navbar-brand {
	color: #9d9d9d;
	}
	.navbar-inverse .navbar-brand:hover,
	.navbar-inverse .navbar-brand:focus {
	color: #fff;
	background-color: transparent;
	}
	.navbar-inverse .navbar-text {
	color: #9d9d9d;
	}
	.navbar-inverse .navbar-nav > li > a {
	color: #9d9d9d;
	}
	.navbar-inverse .navbar-nav > li > a:hover,
	.navbar-inverse .navbar-nav > li > a:focus {
	color: #fff;
	background-color: transparent;
	}
	.navbar-inverse .navbar-nav > .active > a,
	.navbar-inverse .navbar-nav > .active > a:hover,
	.navbar-inverse .navbar-nav > .active > a:focus {
	color: #fff;
	background-color: #080808;
	}
	.navbar-inverse .navbar-nav > .disabled > a,
	.navbar-inverse .navbar-nav > .disabled > a:hover,
	.navbar-inverse .navbar-nav > .disabled > a:focus {
	color: #444;
	background-color: transparent;
	}
	.navbar-inverse .navbar-toggle {
	border-color: #333;
	}
	.navbar-inverse .navbar-toggle:hover,
	.navbar-inverse .navbar-toggle:focus {
	background-color: #333;
	}
	.navbar-inverse .navbar-toggle .icon-bar {
	background-color: #fff;
	}
	.navbar-inverse .navbar-collapse,
	.navbar-inverse .navbar-form {
	border-color: #101010;
	}
	.navbar-inverse .navbar-nav > .open > a,
	.navbar-inverse .navbar-nav > .open > a:hover,
	.navbar-inverse .navbar-nav > .open > a:focus {
	background-color: #080808;
	color: #fff;
	}
	@media (max-width: 540px) {
	.navbar-inverse .navbar-nav .open .dropdown-menu > .dropdown-header {
	border-color: #080808;
	}
	.navbar-inverse .navbar-nav .open .dropdown-menu .divider {
	background-color: #080808;
	}
	.navbar-inverse .navbar-nav .open .dropdown-menu > li > a {
	color: #9d9d9d;
	}
	.navbar-inverse .navbar-nav .open .dropdown-menu > li > a:hover,
	.navbar-inverse .navbar-nav .open .dropdown-menu > li > a:focus {
	color: #fff;
	background-color: transparent;
	}
	.navbar-inverse .navbar-nav .open .dropdown-menu > .active > a,
	.navbar-inverse .navbar-nav .open .dropdown-menu > .active > a:hover,
	.navbar-inverse .navbar-nav .open .dropdown-menu > .active > a:focus {
	color: #fff;
	background-color: #080808;
	}
	.navbar-inverse .navbar-nav .open .dropdown-menu > .disabled > a,
	.navbar-inverse .navbar-nav .open .dropdown-menu > .disabled > a:hover,
	.navbar-inverse .navbar-nav .open .dropdown-menu > .disabled > a:focus {
	color: #444;
	background-color: transparent;
	}
	}
	.navbar-inverse .navbar-link {
	color: #9d9d9d;
	}
	.navbar-inverse .navbar-link:hover {
	color: #fff;
	}
	.navbar-inverse .btn-link {
	color: #9d9d9d;
	}
	.navbar-inverse .btn-link:hover,
	.navbar-inverse .btn-link:focus {
	color: #fff;
	}
	.navbar-inverse .btn-link[disabled]:hover,
	fieldset[disabled] .navbar-inverse .btn-link:hover,
	.navbar-inverse .btn-link[disabled]:focus,
	fieldset[disabled] .navbar-inverse .btn-link:focus {
	color: #444;
	}
	.breadcrumb {
	padding: 8px 15px;
	margin-bottom: 18px;
	list-style: none;
	background-color: #f5f5f5;
	border-radius: 2px;
	}
	.breadcrumb > li {
	display: inline-block;
	}
	.breadcrumb > li + li:before {
	content: "/\00a0";
	padding: 0 5px;
	color: #5e5e5e;
	}
	.breadcrumb > .active {
	color: #777777;
	}
	.pagination {
	display: inline-block;
	padding-left: 0;
	margin: 18px 0;
	border-radius: 2px;
	}
	.pagination > li {
	display: inline;
	}
	.pagination > li > a,
	.pagination > li > span {
	position: relative;
	float: left;
	padding: 6px 12px;
	line-height: 1.42857143;
	text-decoration: none;
	color: #337ab7;
	background-color: #fff;
	border: 1px solid #ddd;
	margin-left: -1px;
	}
	.pagination > li:first-child > a,
	.pagination > li:first-child > span {
	margin-left: 0;
	border-bottom-left-radius: 2px;
	border-top-left-radius: 2px;
	}
	.pagination > li:last-child > a,
	.pagination > li:last-child > span {
	border-bottom-right-radius: 2px;
	border-top-right-radius: 2px;
	}
	.pagination > li > a:hover,
	.pagination > li > span:hover,
	.pagination > li > a:focus,
	.pagination > li > span:focus {
	z-index: 2;
	color: #23527c;
	background-color: #eeeeee;
	border-color: #ddd;
	}
	.pagination > .active > a,
	.pagination > .active > span,
	.pagination > .active > a:hover,
	.pagination > .active > span:hover,
	.pagination > .active > a:focus,
	.pagination > .active > span:focus {
	z-index: 3;
	color: #fff;
	background-color: #337ab7;
	border-color: #337ab7;
	cursor: default;
	}
	.pagination > .disabled > span,
	.pagination > .disabled > span:hover,
	.pagination > .disabled > span:focus,
	.pagination > .disabled > a,
	.pagination > .disabled > a:hover,
	.pagination > .disabled > a:focus {
	color: #777777;
	background-color: #fff;
	border-color: #ddd;
	cursor: not-allowed;
	}
	.pagination-lg > li > a,
	.pagination-lg > li > span {
	padding: 10px 16px;
	font-size: 17px;
	line-height: 1.3333333;
	}
	.pagination-lg > li:first-child > a,
	.pagination-lg > li:first-child > span {
	border-bottom-left-radius: 3px;
	border-top-left-radius: 3px;
	}
	.pagination-lg > li:last-child > a,
	.pagination-lg > li:last-child > span {
	border-bottom-right-radius: 3px;
	border-top-right-radius: 3px;
	}
	.pagination-sm > li > a,
	.pagination-sm > li > span {
	padding: 5px 10px;
	font-size: 12px;
	line-height: 1.5;
	}
	.pagination-sm > li:first-child > a,
	.pagination-sm > li:first-child > span {
	border-bottom-left-radius: 1px;
	border-top-left-radius: 1px;
	}
	.pagination-sm > li:last-child > a,
	.pagination-sm > li:last-child > span {
	border-bottom-right-radius: 1px;
	border-top-right-radius: 1px;
	}
	.pager {
	padding-left: 0;
	margin: 18px 0;
	list-style: none;
	text-align: center;
	}
	.pager li {
	display: inline;
	}
	.pager li > a,
	.pager li > span {
	display: inline-block;
	padding: 5px 14px;
	background-color: #fff;
	border: 1px solid #ddd;
	border-radius: 15px;
	}
	.pager li > a:hover,
	.pager li > a:focus {
	text-decoration: none;
	background-color: #eeeeee;
	}
	.pager .next > a,
	.pager .next > span {
	float: right;
	}
	.pager .previous > a,
	.pager .previous > span {
	float: left;
	}
	.pager .disabled > a,
	.pager .disabled > a:hover,
	.pager .disabled > a:focus,
	.pager .disabled > span {
	color: #777777;
	background-color: #fff;
	cursor: not-allowed;
	}
	.label {
	display: inline;
	padding: .2em .6em .3em;
	font-size: 75%;
	font-weight: bold;
	line-height: 1;
	color: #fff;
	text-align: center;
	white-space: nowrap;
	vertical-align: baseline;
	border-radius: .25em;
	}
	a.label:hover,
	a.label:focus {
	color: #fff;
	text-decoration: none;
	cursor: pointer;
	}
	.label:empty {
	display: none;
	}
	.btn .label {
	position: relative;
	top: -1px;
	}
	.label-default {
	background-color: #777777;
	}
	.label-default[href]:hover,
	.label-default[href]:focus {
	background-color: #5e5e5e;
	}
	.label-primary {
	background-color: #337ab7;
	}
	.label-primary[href]:hover,
	.label-primary[href]:focus {
	background-color: #286090;
	}
	.label-success {
	background-color: #5cb85c;
	}
	.label-success[href]:hover,
	.label-success[href]:focus {
	background-color: #449d44;
	}
	.label-info {
	background-color: #5bc0de;
	}
	.label-info[href]:hover,
	.label-info[href]:focus {
	background-color: #31b0d5;
	}
	.label-warning {
	background-color: #f0ad4e;
	}
	.label-warning[href]:hover,
	.label-warning[href]:focus {
	background-color: #ec971f;
	}
	.label-danger {
	background-color: #d9534f;
	}
	.label-danger[href]:hover,
	.label-danger[href]:focus {
	background-color: #c9302c;
	}
	.badge {
	display: inline-block;
	min-width: 10px;
	padding: 3px 7px;
	font-size: 12px;
	font-weight: bold;
	color: #fff;
	line-height: 1;
	vertical-align: middle;
	white-space: nowrap;
	text-align: center;
	background-color: #777777;
	border-radius: 10px;
	}
	.badge:empty {
	display: none;
	}
	.btn .badge {
	position: relative;
	top: -1px;
	}
	.btn-xs .badge,
	.btn-group-xs > .btn .badge {
	top: 0;
	padding: 1px 5px;
	}
	a.badge:hover,
	a.badge:focus {
	color: #fff;
	text-decoration: none;
	cursor: pointer;
	}
	.list-group-item.active > .badge,
	.nav-pills > .active > a > .badge {
	color: #337ab7;
	background-color: #fff;
	}
	.list-group-item > .badge {
	float: right;
	}
	.list-group-item > .badge + .badge {
	margin-right: 5px;
	}
	.nav-pills > li > a > .badge {
	margin-left: 3px;
	}
	.jumbotron {
	padding-top: 30px;
	padding-bottom: 30px;
	margin-bottom: 30px;
	color: inherit;
	background-color: #eeeeee;
	}
	.jumbotron h1,
	.jumbotron .h1 {
	color: inherit;
	}
	.jumbotron p {
	margin-bottom: 15px;
	font-size: 20px;
	font-weight: 200;
	}
	.jumbotron > hr {
	border-top-color: #d5d5d5;
	}
	.container .jumbotron,
	.container-fluid .jumbotron {
	border-radius: 3px;
	padding-left: 0px;
	padding-right: 0px;
	}
	.jumbotron .container {
	max-width: 100%;
	}
	@media screen and (min-width: 768px) {
	.jumbotron {
	padding-top: 48px;
	padding-bottom: 48px;
	}
	.container .jumbotron,
	.container-fluid .jumbotron {
	padding-left: 60px;
	padding-right: 60px;
	}
	.jumbotron h1,
	.jumbotron .h1 {
	font-size: 59px;
	}
	}
	.thumbnail {
	display: block;
	padding: 4px;
	margin-bottom: 18px;
	line-height: 1.42857143;
	background-color: #fff;
	border: 1px solid #ddd;
	border-radius: 2px;
	-webkit-transition: border 0.2s ease-in-out;
	-o-transition: border 0.2s ease-in-out;
	transition: border 0.2s ease-in-out;
	}
	.thumbnail > img,
	.thumbnail a > img {
	margin-left: auto;
	margin-right: auto;
	}
	a.thumbnail:hover,
	a.thumbnail:focus,
	a.thumbnail.active {
	border-color: #337ab7;
	}
	.thumbnail .caption {
	padding: 9px;
	color: #000;
	}
	.alert {
	padding: 15px;
	margin-bottom: 18px;
	border: 1px solid transparent;
	border-radius: 2px;
	}
	.alert h4 {
	margin-top: 0;
	color: inherit;
	}
	.alert .alert-link {
	font-weight: bold;
	}
	.alert > p,
	.alert > ul {
	margin-bottom: 0;
	}
	.alert > p + p {
	margin-top: 5px;
	}
	.alert-dismissable,
	.alert-dismissible {
	padding-right: 35px;
	}
	.alert-dismissable .close,
	.alert-dismissible .close {
	position: relative;
	top: -2px;
	right: -21px;
	color: inherit;
	}
	.alert-success {
	background-color: #dff0d8;
	border-color: #d6e9c6;
	color: #3c763d;
	}
	.alert-success hr {
	border-top-color: #c9e2b3;
	}
	.alert-success .alert-link {
	color: #2b542c;
	}
	.alert-info {
	background-color: #d9edf7;
	border-color: #bce8f1;
	color: #31708f;
	}
	.alert-info hr {
	border-top-color: #a6e1ec;
	}
	.alert-info .alert-link {
	color: #245269;
	}
	.alert-warning {
	background-color: #fcf8e3;
	border-color: #faebcc;
	color: #8a6d3b;
	}
	.alert-warning hr {
	border-top-color: #f7e1b5;
	}
	.alert-warning .alert-link {
	color: #66512c;
	}
	.alert-danger {
	background-color: #f2dede;
	border-color: #ebccd1;
	color: #a94442;
	}
	.alert-danger hr {
	border-top-color: #e4b9c0;
	}
	.alert-danger .alert-link {
	color: #843534;
	}
	@-webkit-keyframes progress-bar-stripes {
	from {
	background-position: 40px 0;
	}
	to {
	background-position: 0 0;
	}
	}
	@keyframes progress-bar-stripes {
	from {
	background-position: 40px 0;
	}
	to {
	background-position: 0 0;
	}
	}
	.progress {
	overflow: hidden;
	height: 18px;
	margin-bottom: 18px;
	background-color: #f5f5f5;
	border-radius: 2px;
	-webkit-box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.1);
	box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.1);
	}
	.progress-bar {
	float: left;
	width: 0%;
	height: 100%;
	font-size: 12px;
	line-height: 18px;
	color: #fff;
	text-align: center;
	background-color: #337ab7;
	-webkit-box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.15);
	box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.15);
	-webkit-transition: width 0.6s ease;
	-o-transition: width 0.6s ease;
	transition: width 0.6s ease;
	}
	.progress-striped .progress-bar,
	.progress-bar-striped {
	background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
	background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
	background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
	background-size: 40px 40px;
	}
	.progress.active .progress-bar,
	.progress-bar.active {
	-webkit-animation: progress-bar-stripes 2s linear infinite;
	-o-animation: progress-bar-stripes 2s linear infinite;
	animation: progress-bar-stripes 2s linear infinite;
	}
	.progress-bar-success {
	background-color: #5cb85c;
	}
	.progress-striped .progress-bar-success {
	background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
	background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
	background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
	}
	.progress-bar-info {
	background-color: #5bc0de;
	}
	.progress-striped .progress-bar-info {
	background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
	background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
	background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
	}
	.progress-bar-warning {
	background-color: #f0ad4e;
	}
	.progress-striped .progress-bar-warning {
	background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
	background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
	background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
	}
	.progress-bar-danger {
	background-color: #d9534f;
	}
	.progress-striped .progress-bar-danger {
	background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
	background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
	background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
	}
	.media {
	margin-top: 15px;
	}
	.media:first-child {
	margin-top: 0;
	}
	.media,
	.media-body {
	zoom: 1;
	overflow: hidden;
	}
	.media-body {
	width: 10000px;
	}
	.media-object {
	display: block;
	}
	.media-object.img-thumbnail {
	max-width: none;
	}
	.media-right,
	.media > .pull-right {
	padding-left: 10px;
	}
	.media-left,
	.media > .pull-left {
	padding-right: 10px;
	}
	.media-left,
	.media-right,
	.media-body {
	display: table-cell;
	vertical-align: top;
	}
	.media-middle {
	vertical-align: middle;
	}
	.media-bottom {
	vertical-align: bottom;
	}
	.media-heading {
	margin-top: 0;
	margin-bottom: 5px;
	}
	.media-list {
	padding-left: 0;
	list-style: none;
	}
	.list-group {
	margin-bottom: 20px;
	padding-left: 0;
	}
	.list-group-item {
	position: relative;
	display: block;
	padding: 10px 15px;
	margin-bottom: -1px;
	background-color: #fff;
	border: 1px solid #ddd;
	}
	.list-group-item:first-child {
	border-top-right-radius: 2px;
	border-top-left-radius: 2px;
	}
	.list-group-item:last-child {
	margin-bottom: 0;
	border-bottom-right-radius: 2px;
	border-bottom-left-radius: 2px;
	}
	a.list-group-item,
	button.list-group-item {
	color: #555;
	}
	a.list-group-item .list-group-item-heading,
	button.list-group-item .list-group-item-heading {
	color: #333;
	}
	a.list-group-item:hover,
	button.list-group-item:hover,
	a.list-group-item:focus,
	button.list-group-item:focus {
	text-decoration: none;
	color: #555;
	background-color: #f5f5f5;
	}
	button.list-group-item {
	width: 100%;
	text-align: left;
	}
	.list-group-item.disabled,
	.list-group-item.disabled:hover,
	.list-group-item.disabled:focus {
	background-color: #eeeeee;
	color: #777777;
	cursor: not-allowed;
	}
	.list-group-item.disabled .list-group-item-heading,
	.list-group-item.disabled:hover .list-group-item-heading,
	.list-group-item.disabled:focus .list-group-item-heading {
	color: inherit;
	}
	.list-group-item.disabled .list-group-item-text,
	.list-group-item.disabled:hover .list-group-item-text,
	.list-group-item.disabled:focus .list-group-item-text {
	color: #777777;
	}
	.list-group-item.active,
	.list-group-item.active:hover,
	.list-group-item.active:focus {
	z-index: 2;
	color: #fff;
	background-color: #337ab7;
	border-color: #337ab7;
	}
	.list-group-item.active .list-group-item-heading,
	.list-group-item.active:hover .list-group-item-heading,
	.list-group-item.active:focus .list-group-item-heading,
	.list-group-item.active .list-group-item-heading > small,
	.list-group-item.active:hover .list-group-item-heading > small,
	.list-group-item.active:focus .list-group-item-heading > small,
	.list-group-item.active .list-group-item-heading > .small,
	.list-group-item.active:hover .list-group-item-heading > .small,
	.list-group-item.active:focus .list-group-item-heading > .small {
	color: inherit;
	}
	.list-group-item.active .list-group-item-text,
	.list-group-item.active:hover .list-group-item-text,
	.list-group-item.active:focus .list-group-item-text {
	color: #c7ddef;
	}
	.list-group-item-success {
	color: #3c763d;
	background-color: #dff0d8;
	}
	a.list-group-item-success,
	button.list-group-item-success {
	color: #3c763d;
	}
	a.list-group-item-success .list-group-item-heading,
	button.list-group-item-success .list-group-item-heading {
	color: inherit;
	}
	a.list-group-item-success:hover,
	button.list-group-item-success:hover,
	a.list-group-item-success:focus,
	button.list-group-item-success:focus {
	color: #3c763d;
	background-color: #d0e9c6;
	}
	a.list-group-item-success.active,
	button.list-group-item-success.active,
	a.list-group-item-success.active:hover,
	button.list-group-item-success.active:hover,
	a.list-group-item-success.active:focus,
	button.list-group-item-success.active:focus {
	color: #fff;
	background-color: #3c763d;
	border-color: #3c763d;
	}
	.list-group-item-info {
	color: #31708f;
	background-color: #d9edf7;
	}
	a.list-group-item-info,
	button.list-group-item-info {
	color: #31708f;
	}
	a.list-group-item-info .list-group-item-heading,
	button.list-group-item-info .list-group-item-heading {
	color: inherit;
	}
	a.list-group-item-info:hover,
	button.list-group-item-info:hover,
	a.list-group-item-info:focus,
	button.list-group-item-info:focus {
	color: #31708f;
	background-color: #c4e3f3;
	}
	a.list-group-item-info.active,
	button.list-group-item-info.active,
	a.list-group-item-info.active:hover,
	button.list-group-item-info.active:hover,
	a.list-group-item-info.active:focus,
	button.list-group-item-info.active:focus {
	color: #fff;
	background-color: #31708f;
	border-color: #31708f;
	}
	.list-group-item-warning {
	color: #8a6d3b;
	background-color: #fcf8e3;
	}
	a.list-group-item-warning,
	button.list-group-item-warning {
	color: #8a6d3b;
	}
	a.list-group-item-warning .list-group-item-heading,
	button.list-group-item-warning .list-group-item-heading {
	color: inherit;
	}
	a.list-group-item-warning:hover,
	button.list-group-item-warning:hover,
	a.list-group-item-warning:focus,
	button.list-group-item-warning:focus {
	color: #8a6d3b;
	background-color: #faf2cc;
	}
	a.list-group-item-warning.active,
	button.list-group-item-warning.active,
	a.list-group-item-warning.active:hover,
	button.list-group-item-warning.active:hover,
	a.list-group-item-warning.active:focus,
	button.list-group-item-warning.active:focus {
	color: #fff;
	background-color: #8a6d3b;
	border-color: #8a6d3b;
	}
	.list-group-item-danger {
	color: #a94442;
	background-color: #f2dede;
	}
	a.list-group-item-danger,
	button.list-group-item-danger {
	color: #a94442;
	}
	a.list-group-item-danger .list-group-item-heading,
	button.list-group-item-danger .list-group-item-heading {
	color: inherit;
	}
	a.list-group-item-danger:hover,
	button.list-group-item-danger:hover,
	a.list-group-item-danger:focus,
	button.list-group-item-danger:focus {
	color: #a94442;
	background-color: #ebcccc;
	}
	a.list-group-item-danger.active,
	button.list-group-item-danger.active,
	a.list-group-item-danger.active:hover,
	button.list-group-item-danger.active:hover,
	a.list-group-item-danger.active:focus,
	button.list-group-item-danger.active:focus {
	color: #fff;
	background-color: #a94442;
	border-color: #a94442;
	}
	.list-group-item-heading {
	margin-top: 0;
	margin-bottom: 5px;
	}
	.list-group-item-text {
	margin-bottom: 0;
	line-height: 1.3;
	}
	.panel {
	margin-bottom: 18px;
	background-color: #fff;
	border: 1px solid transparent;
	border-radius: 2px;
	-webkit-box-shadow: 0 1px 1px rgba(0, 0, 0, 0.05);
	box-shadow: 0 1px 1px rgba(0, 0, 0, 0.05);
	}
	.panel-body {
	padding: 15px;
	}
	.panel-heading {
	padding: 10px 15px;
	border-bottom: 1px solid transparent;
	border-top-right-radius: 1px;
	border-top-left-radius: 1px;
	}
	.panel-heading > .dropdown .dropdown-toggle {
	color: inherit;
	}
	.panel-title {
	margin-top: 0;
	margin-bottom: 0;
	font-size: 15px;
	color: inherit;
	}
	.panel-title > a,
	.panel-title > small,
	.panel-title > .small,
	.panel-title > small > a,
	.panel-title > .small > a {
	color: inherit;
	}
	.panel-footer {
	padding: 10px 15px;
	background-color: #f5f5f5;
	border-top: 1px solid #ddd;
	border-bottom-right-radius: 1px;
	border-bottom-left-radius: 1px;
	}
	.panel > .list-group,
	.panel > .panel-collapse > .list-group {
	margin-bottom: 0;
	}
	.panel > .list-group .list-group-item,
	.panel > .panel-collapse > .list-group .list-group-item {
	border-width: 1px 0;
	border-radius: 0;
	}
	.panel > .list-group:first-child .list-group-item:first-child,
	.panel > .panel-collapse > .list-group:first-child .list-group-item:first-child {
	border-top: 0;
	border-top-right-radius: 1px;
	border-top-left-radius: 1px;
	}
	.panel > .list-group:last-child .list-group-item:last-child,
	.panel > .panel-collapse > .list-group:last-child .list-group-item:last-child {
	border-bottom: 0;
	border-bottom-right-radius: 1px;
	border-bottom-left-radius: 1px;
	}
	.panel > .panel-heading + .panel-collapse > .list-group .list-group-item:first-child {
	border-top-right-radius: 0;
	border-top-left-radius: 0;
	}
	.panel-heading + .list-group .list-group-item:first-child {
	border-top-width: 0;
	}
	.list-group + .panel-footer {
	border-top-width: 0;
	}
	.panel > .table,
	.panel > .table-responsive > .table,
	.panel > .panel-collapse > .table {
	margin-bottom: 0;
	}
	.panel > .table caption,
	.panel > .table-responsive > .table caption,
	.panel > .panel-collapse > .table caption {
	padding-left: 15px;
	padding-right: 15px;
	}
	.panel > .table:first-child,
	.panel > .table-responsive:first-child > .table:first-child {
	border-top-right-radius: 1px;
	border-top-left-radius: 1px;
	}
	.panel > .table:first-child > thead:first-child > tr:first-child,
	.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child,
	.panel > .table:first-child > tbody:first-child > tr:first-child,
	.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child {
	border-top-left-radius: 1px;
	border-top-right-radius: 1px;
	}
	.panel > .table:first-child > thead:first-child > tr:first-child td:first-child,
	.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child td:first-child,
	.panel > .table:first-child > tbody:first-child > tr:first-child td:first-child,
	.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child td:first-child,
	.panel > .table:first-child > thead:first-child > tr:first-child th:first-child,
	.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child th:first-child,
	.panel > .table:first-child > tbody:first-child > tr:first-child th:first-child,
	.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child th:first-child {
	border-top-left-radius: 1px;
	}
	.panel > .table:first-child > thead:first-child > tr:first-child td:last-child,
	.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child td:last-child,
	.panel > .table:first-child > tbody:first-child > tr:first-child td:last-child,
	.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child td:last-child,
	.panel > .table:first-child > thead:first-child > tr:first-child th:last-child,
	.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child th:last-child,
	.panel > .table:first-child > tbody:first-child > tr:first-child th:last-child,
	.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child th:last-child {
	border-top-right-radius: 1px;
	}
	.panel > .table:last-child,
	.panel > .table-responsive:last-child > .table:last-child {
	border-bottom-right-radius: 1px;
	border-bottom-left-radius: 1px;
	}
	.panel > .table:last-child > tbody:last-child > tr:last-child,
	.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child,
	.panel > .table:last-child > tfoot:last-child > tr:last-child,
	.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child {
	border-bottom-left-radius: 1px;
	border-bottom-right-radius: 1px;
	}
	.panel > .table:last-child > tbody:last-child > tr:last-child td:first-child,
	.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child td:first-child,
	.panel > .table:last-child > tfoot:last-child > tr:last-child td:first-child,
	.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child td:first-child,
	.panel > .table:last-child > tbody:last-child > tr:last-child th:first-child,
	.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child th:first-child,
	.panel > .table:last-child > tfoot:last-child > tr:last-child th:first-child,
	.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child th:first-child {
	border-bottom-left-radius: 1px;
	}
	.panel > .table:last-child > tbody:last-child > tr:last-child td:last-child,
	.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child td:last-child,
	.panel > .table:last-child > tfoot:last-child > tr:last-child td:last-child,
	.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child td:last-child,
	.panel > .table:last-child > tbody:last-child > tr:last-child th:last-child,
	.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child th:last-child,
	.panel > .table:last-child > tfoot:last-child > tr:last-child th:last-child,
	.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child th:last-child {
	border-bottom-right-radius: 1px;
	}
	.panel > .panel-body + .table,
	.panel > .panel-body + .table-responsive,
	.panel > .table + .panel-body,
	.panel > .table-responsive + .panel-body {
	border-top: 1px solid #ddd;
	}
	.panel > .table > tbody:first-child > tr:first-child th,
	.panel > .table > tbody:first-child > tr:first-child td {
	border-top: 0;
	}
	.panel > .table-bordered,
	.panel > .table-responsive > .table-bordered {
	border: 0;
	}
	.panel > .table-bordered > thead > tr > th:first-child,
	.panel > .table-responsive > .table-bordered > thead > tr > th:first-child,
	.panel > .table-bordered > tbody > tr > th:first-child,
	.panel > .table-responsive > .table-bordered > tbody > tr > th:first-child,
	.panel > .table-bordered > tfoot > tr > th:first-child,
	.panel > .table-responsive > .table-bordered > tfoot > tr > th:first-child,
	.panel > .table-bordered > thead > tr > td:first-child,
	.panel > .table-responsive > .table-bordered > thead > tr > td:first-child,
	.panel > .table-bordered > tbody > tr > td:first-child,
	.panel > .table-responsive > .table-bordered > tbody > tr > td:first-child,
	.panel > .table-bordered > tfoot > tr > td:first-child,
	.panel > .table-responsive > .table-bordered > tfoot > tr > td:first-child {
	border-left: 0;
	}
	.panel > .table-bordered > thead > tr > th:last-child,
	.panel > .table-responsive > .table-bordered > thead > tr > th:last-child,
	.panel > .table-bordered > tbody > tr > th:last-child,
	.panel > .table-responsive > .table-bordered > tbody > tr > th:last-child,
	.panel > .table-bordered > tfoot > tr > th:last-child,
	.panel > .table-responsive > .table-bordered > tfoot > tr > th:last-child,
	.panel > .table-bordered > thead > tr > td:last-child,
	.panel > .table-responsive > .table-bordered > thead > tr > td:last-child,
	.panel > .table-bordered > tbody > tr > td:last-child,
	.panel > .table-responsive > .table-bordered > tbody > tr > td:last-child,
	.panel > .table-bordered > tfoot > tr > td:last-child,
	.panel > .table-responsive > .table-bordered > tfoot > tr > td:last-child {
	border-right: 0;
	}
	.panel > .table-bordered > thead > tr:first-child > td,
	.panel > .table-responsive > .table-bordered > thead > tr:first-child > td,
	.panel > .table-bordered > tbody > tr:first-child > td,
	.panel > .table-responsive > .table-bordered > tbody > tr:first-child > td,
	.panel > .table-bordered > thead > tr:first-child > th,
	.panel > .table-responsive > .table-bordered > thead > tr:first-child > th,
	.panel > .table-bordered > tbody > tr:first-child > th,
	.panel > .table-responsive > .table-bordered > tbody > tr:first-child > th {
	border-bottom: 0;
	}
	.panel > .table-bordered > tbody > tr:last-child > td,
	.panel > .table-responsive > .table-bordered > tbody > tr:last-child > td,
	.panel > .table-bordered > tfoot > tr:last-child > td,
	.panel > .table-responsive > .table-bordered > tfoot > tr:last-child > td,
	.panel > .table-bordered > tbody > tr:last-child > th,
	.panel > .table-responsive > .table-bordered > tbody > tr:last-child > th,
	.panel > .table-bordered > tfoot > tr:last-child > th,
	.panel > .table-responsive > .table-bordered > tfoot > tr:last-child > th {
	border-bottom: 0;
	}
	.panel > .table-responsive {
	border: 0;
	margin-bottom: 0;
	}
	.panel-group {
	margin-bottom: 18px;
	}
	.panel-group .panel {
	margin-bottom: 0;
	border-radius: 2px;
	}
	.panel-group .panel + .panel {
	margin-top: 5px;
	}
	.panel-group .panel-heading {
	border-bottom: 0;
	}
	.panel-group .panel-heading + .panel-collapse > .panel-body,
	.panel-group .panel-heading + .panel-collapse > .list-group {
	border-top: 1px solid #ddd;
	}
	.panel-group .panel-footer {
	border-top: 0;
	}
	.panel-group .panel-footer + .panel-collapse .panel-body {
	border-bottom: 1px solid #ddd;
	}
	.panel-default {
	border-color: #ddd;
	}
	.panel-default > .panel-heading {
	color: #333333;
	background-color: #f5f5f5;
	border-color: #ddd;
	}
	.panel-default > .panel-heading + .panel-collapse > .panel-body {
	border-top-color: #ddd;
	}
	.panel-default > .panel-heading .badge {
	color: #f5f5f5;
	background-color: #333333;
	}
	.panel-default > .panel-footer + .panel-collapse > .panel-body {
	border-bottom-color: #ddd;
	}
	.panel-primary {
	border-color: #337ab7;
	}
	.panel-primary > .panel-heading {
	color: #fff;
	background-color: #337ab7;
	border-color: #337ab7;
	}
	.panel-primary > .panel-heading + .panel-collapse > .panel-body {
	border-top-color: #337ab7;
	}
	.panel-primary > .panel-heading .badge {
	color: #337ab7;
	background-color: #fff;
	}
	.panel-primary > .panel-footer + .panel-collapse > .panel-body {
	border-bottom-color: #337ab7;
	}
	.panel-success {
	border-color: #d6e9c6;
	}
	.panel-success > .panel-heading {
	color: #3c763d;
	background-color: #dff0d8;
	border-color: #d6e9c6;
	}
	.panel-success > .panel-heading + .panel-collapse > .panel-body {
	border-top-color: #d6e9c6;
	}
	.panel-success > .panel-heading .badge {
	color: #dff0d8;
	background-color: #3c763d;
	}
	.panel-success > .panel-footer + .panel-collapse > .panel-body {
	border-bottom-color: #d6e9c6;
	}
	.panel-info {
	border-color: #bce8f1;
	}
	.panel-info > .panel-heading {
	color: #31708f;
	background-color: #d9edf7;
	border-color: #bce8f1;
	}
	.panel-info > .panel-heading + .panel-collapse > .panel-body {
	border-top-color: #bce8f1;
	}
	.panel-info > .panel-heading .badge {
	color: #d9edf7;
	background-color: #31708f;
	}
	.panel-info > .panel-footer + .panel-collapse > .panel-body {
	border-bottom-color: #bce8f1;
	}
	.panel-warning {
	border-color: #faebcc;
	}
	.panel-warning > .panel-heading {
	color: #8a6d3b;
	background-color: #fcf8e3;
	border-color: #faebcc;
	}
	.panel-warning > .panel-heading + .panel-collapse > .panel-body {
	border-top-color: #faebcc;
	}
	.panel-warning > .panel-heading .badge {
	color: #fcf8e3;
	background-color: #8a6d3b;
	}
	.panel-warning > .panel-footer + .panel-collapse > .panel-body {
	border-bottom-color: #faebcc;
	}
	.panel-danger {
	border-color: #ebccd1;
	}
	.panel-danger > .panel-heading {
	color: #a94442;
	background-color: #f2dede;
	border-color: #ebccd1;
	}
	.panel-danger > .panel-heading + .panel-collapse > .panel-body {
	border-top-color: #ebccd1;
	}
	.panel-danger > .panel-heading .badge {
	color: #f2dede;
	background-color: #a94442;
	}
	.panel-danger > .panel-footer + .panel-collapse > .panel-body {
	border-bottom-color: #ebccd1;
	}
	.embed-responsive {
	position: relative;
	display: block;
	height: 0;
	padding: 0;
	overflow: hidden;
	}
	.embed-responsive .embed-responsive-item,
	.embed-responsive iframe,
	.embed-responsive embed,
	.embed-responsive object,
	.embed-responsive video {
	position: absolute;
	top: 0;
	left: 0;
	bottom: 0;
	height: 100%;
	width: 100%;
	border: 0;
	}
	.embed-responsive-16by9 {
	padding-bottom: 56.25%;
	}
	.embed-responsive-4by3 {
	padding-bottom: 75%;
	}
	.well {
	min-height: 20px;
	padding: 19px;
	margin-bottom: 20px;
	background-color: #f5f5f5;
	border: 1px solid #e3e3e3;
	border-radius: 2px;
	-webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.05);
	box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.05);
	}
	.well blockquote {
	border-color: #ddd;
	border-color: rgba(0, 0, 0, 0.15);
	}
	.well-lg {
	padding: 24px;
	border-radius: 3px;
	}
	.well-sm {
	padding: 9px;
	border-radius: 1px;
	}
	.close {
	float: right;
	font-size: 19.5px;
	font-weight: bold;
	line-height: 1;
	color: #000;
	text-shadow: 0 1px 0 #fff;
	opacity: 0.2;
	filter: alpha(opacity=20);
	}
	.close:hover,
	.close:focus {
	color: #000;
	text-decoration: none;
	cursor: pointer;
	opacity: 0.5;
	filter: alpha(opacity=50);
	}
	button.close {
	padding: 0;
	cursor: pointer;
	background: transparent;
	border: 0;
	-webkit-appearance: none;
	}
	.modal-open {
	overflow: hidden;
	}
	.modal {
	display: none;
	overflow: hidden;
	position: fixed;
	top: 0;
	right: 0;
	bottom: 0;
	left: 0;
	z-index: 1050;
	-webkit-overflow-scrolling: touch;
	outline: 0;
	}
	.modal.fade .modal-dialog {
	-webkit-transform: translate(0, -25%);
	-ms-transform: translate(0, -25%);
	-o-transform: translate(0, -25%);
	transform: translate(0, -25%);
	-webkit-transition: -webkit-transform 0.3s ease-out;
	-moz-transition: -moz-transform 0.3s ease-out;
	-o-transition: -o-transform 0.3s ease-out;
	transition: transform 0.3s ease-out;
	}
	.modal.in .modal-dialog {
	-webkit-transform: translate(0, 0);
	-ms-transform: translate(0, 0);
	-o-transform: translate(0, 0);
	transform: translate(0, 0);
	}
	.modal-open .modal {
	overflow-x: hidden;
	overflow-y: auto;
	}
	.modal-dialog {
	position: relative;
	width: auto;
	margin: 10px;
	}
	.modal-content {
	position: relative;
	background-color: #fff;
	border: 1px solid #999;
	border: 1px solid rgba(0, 0, 0, 0.2);
	border-radius: 3px;
	-webkit-box-shadow: 0 3px 9px rgba(0, 0, 0, 0.5);
	box-shadow: 0 3px 9px rgba(0, 0, 0, 0.5);
	background-clip: padding-box;
	outline: 0;
	}
	.modal-backdrop {
	position: fixed;
	top: 0;
	right: 0;
	bottom: 0;
	left: 0;
	z-index: 1040;
	background-color: #000;
	}
	.modal-backdrop.fade {
	opacity: 0;
	filter: alpha(opacity=0);
	}
	.modal-backdrop.in {
	opacity: 0.5;
	filter: alpha(opacity=50);
	}
	.modal-header {
	padding: 15px;
	border-bottom: 1px solid #e5e5e5;
	}
	.modal-header .close {
	margin-top: -2px;
	}
	.modal-title {
	margin: 0;
	line-height: 1.42857143;
	}
	.modal-body {
	position: relative;
	padding: 15px;
	}
	.modal-footer {
	padding: 15px;
	text-align: right;
	border-top: 1px solid #e5e5e5;
	}
	.modal-footer .btn + .btn {
	margin-left: 5px;
	margin-bottom: 0;
	}
	.modal-footer .btn-group .btn + .btn {
	margin-left: -1px;
	}
	.modal-footer .btn-block + .btn-block {
	margin-left: 0;
	}
	.modal-scrollbar-measure {
	position: absolute;
	top: -9999px;
	width: 50px;
	height: 50px;
	overflow: scroll;
	}
	@media (min-width: 768px) {
	.modal-dialog {
	width: 600px;
	margin: 30px auto;
	}
	.modal-content {
	-webkit-box-shadow: 0 5px 15px rgba(0, 0, 0, 0.5);
	box-shadow: 0 5px 15px rgba(0, 0, 0, 0.5);
	}
	.modal-sm {
	width: 300px;
	}
	}
	@media (min-width: 992px) {
	.modal-lg {
	width: 900px;
	}
	}
	.tooltip {
	position: absolute;
	z-index: 1070;
	display: block;
	font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
	font-style: normal;
	font-weight: normal;
	letter-spacing: normal;
	line-break: auto;
	line-height: 1.42857143;
	text-align: left;
	text-align: start;
	text-decoration: none;
	text-shadow: none;
	text-transform: none;
	white-space: normal;
	word-break: normal;
	word-spacing: normal;
	word-wrap: normal;
	font-size: 12px;
	opacity: 0;
	filter: alpha(opacity=0);
	}
	.tooltip.in {
	opacity: 0.9;
	filter: alpha(opacity=90);
	}
	.tooltip.top {
	margin-top: -3px;
	padding: 5px 0;
	}
	.tooltip.right {
	margin-left: 3px;
	padding: 0 5px;
	}
	.tooltip.bottom {
	margin-top: 3px;
	padding: 5px 0;
	}
	.tooltip.left {
	margin-left: -3px;
	padding: 0 5px;
	}
	.tooltip-inner {
	max-width: 200px;
	padding: 3px 8px;
	color: #fff;
	text-align: center;
	background-color: #000;
	border-radius: 2px;
	}
	.tooltip-arrow {
	position: absolute;
	width: 0;
	height: 0;
	border-color: transparent;
	border-style: solid;
	}
	.tooltip.top .tooltip-arrow {
	bottom: 0;
	left: 50%;
	margin-left: -5px;
	border-width: 5px 5px 0;
	border-top-color: #000;
	}
	.tooltip.top-left .tooltip-arrow {
	bottom: 0;
	right: 5px;
	margin-bottom: -5px;
	border-width: 5px 5px 0;
	border-top-color: #000;
	}
	.tooltip.top-right .tooltip-arrow {
	bottom: 0;
	left: 5px;
	margin-bottom: -5px;
	border-width: 5px 5px 0;
	border-top-color: #000;
	}
	.tooltip.right .tooltip-arrow {
	top: 50%;
	left: 0;
	margin-top: -5px;
	border-width: 5px 5px 5px 0;
	border-right-color: #000;
	}
	.tooltip.left .tooltip-arrow {
	top: 50%;
	right: 0;
	margin-top: -5px;
	border-width: 5px 0 5px 5px;
	border-left-color: #000;
	}
	.tooltip.bottom .tooltip-arrow {
	top: 0;
	left: 50%;
	margin-left: -5px;
	border-width: 0 5px 5px;
	border-bottom-color: #000;
	}
	.tooltip.bottom-left .tooltip-arrow {
	top: 0;
	right: 5px;
	margin-top: -5px;
	border-width: 0 5px 5px;
	border-bottom-color: #000;
	}
	.tooltip.bottom-right .tooltip-arrow {
	top: 0;
	left: 5px;
	margin-top: -5px;
	border-width: 0 5px 5px;
	border-bottom-color: #000;
	}
	.popover {
	position: absolute;
	top: 0;
	left: 0;
	z-index: 1060;
	display: none;
	max-width: 276px;
	padding: 1px;
	font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
	font-style: normal;
	font-weight: normal;
	letter-spacing: normal;
	line-break: auto;
	line-height: 1.42857143;
	text-align: left;
	text-align: start;
	text-decoration: none;
	text-shadow: none;
	text-transform: none;
	white-space: normal;
	word-break: normal;
	word-spacing: normal;
	word-wrap: normal;
	font-size: 13px;
	background-color: #fff;
	background-clip: padding-box;
	border: 1px solid #ccc;
	border: 1px solid rgba(0, 0, 0, 0.2);
	border-radius: 3px;
	-webkit-box-shadow: 0 5px 10px rgba(0, 0, 0, 0.2);
	box-shadow: 0 5px 10px rgba(0, 0, 0, 0.2);
	}
	.popover.top {
	margin-top: -10px;
	}
	.popover.right {
	margin-left: 10px;
	}
	.popover.bottom {
	margin-top: 10px;
	}
	.popover.left {
	margin-left: -10px;
	}
	.popover-title {
	margin: 0;
	padding: 8px 14px;
	font-size: 13px;
	background-color: #f7f7f7;
	border-bottom: 1px solid #ebebeb;
	border-radius: 2px 2px 0 0;
	}
	.popover-content {
	padding: 9px 14px;
	}
	.popover > .arrow,
	.popover > .arrow:after {
	position: absolute;
	display: block;
	width: 0;
	height: 0;
	border-color: transparent;
	border-style: solid;
	}
	.popover > .arrow {
	border-width: 11px;
	}
	.popover > .arrow:after {
	border-width: 10px;
	content: "";
	}
	.popover.top > .arrow {
	left: 50%;
	margin-left: -11px;
	border-bottom-width: 0;
	border-top-color: #999999;
	border-top-color: rgba(0, 0, 0, 0.25);
	bottom: -11px;
	}
	.popover.top > .arrow:after {
	content: " ";
	bottom: 1px;
	margin-left: -10px;
	border-bottom-width: 0;
	border-top-color: #fff;
	}
	.popover.right > .arrow {
	top: 50%;
	left: -11px;
	margin-top: -11px;
	border-left-width: 0;
	border-right-color: #999999;
	border-right-color: rgba(0, 0, 0, 0.25);
	}
	.popover.right > .arrow:after {
	content: " ";
	left: 1px;
	bottom: -10px;
	border-left-width: 0;
	border-right-color: #fff;
	}
	.popover.bottom > .arrow {
	left: 50%;
	margin-left: -11px;
	border-top-width: 0;
	border-bottom-color: #999999;
	border-bottom-color: rgba(0, 0, 0, 0.25);
	top: -11px;
	}
	.popover.bottom > .arrow:after {
	content: " ";
	top: 1px;
	margin-left: -10px;
	border-top-width: 0;
	border-bottom-color: #fff;
	}
	.popover.left > .arrow {
	top: 50%;
	right: -11px;
	margin-top: -11px;
	border-right-width: 0;
	border-left-color: #999999;
	border-left-color: rgba(0, 0, 0, 0.25);
	}
	.popover.left > .arrow:after {
	content: " ";
	right: 1px;
	border-right-width: 0;
	border-left-color: #fff;
	bottom: -10px;
	}
	.carousel {
	position: relative;
	}
	.carousel-inner {
	position: relative;
	overflow: hidden;
	width: 100%;
	}
	.carousel-inner > .item {
	display: none;
	position: relative;
	-webkit-transition: 0.6s ease-in-out left;
	-o-transition: 0.6s ease-in-out left;
	transition: 0.6s ease-in-out left;
	}
	.carousel-inner > .item > img,
	.carousel-inner > .item > a > img {
	line-height: 1;
	}
	@media all and (transform-3d), (-webkit-transform-3d) {
	.carousel-inner > .item {
	-webkit-transition: -webkit-transform 0.6s ease-in-out;
	-moz-transition: -moz-transform 0.6s ease-in-out;
	-o-transition: -o-transform 0.6s ease-in-out;
	transition: transform 0.6s ease-in-out;
	-webkit-backface-visibility: hidden;
	-moz-backface-visibility: hidden;
	backface-visibility: hidden;
	-webkit-perspective: 1000px;
	-moz-perspective: 1000px;
	perspective: 1000px;
	}
	.carousel-inner > .item.next,
	.carousel-inner > .item.active.right {
	-webkit-transform: translate3d(100%, 0, 0);
	transform: translate3d(100%, 0, 0);
	left: 0;
	}
	.carousel-inner > .item.prev,
	.carousel-inner > .item.active.left {
	-webkit-transform: translate3d(-100%, 0, 0);
	transform: translate3d(-100%, 0, 0);
	left: 0;
	}
	.carousel-inner > .item.next.left,
	.carousel-inner > .item.prev.right,
	.carousel-inner > .item.active {
	-webkit-transform: translate3d(0, 0, 0);
	transform: translate3d(0, 0, 0);
	left: 0;
	}
	}
	.carousel-inner > .active,
	.carousel-inner > .next,
	.carousel-inner > .prev {
	display: block;
	}
	.carousel-inner > .active {
	left: 0;
	}
	.carousel-inner > .next,
	.carousel-inner > .prev {
	position: absolute;
	top: 0;
	width: 100%;
	}
	.carousel-inner > .next {
	left: 100%;
	}
	.carousel-inner > .prev {
	left: -100%;
	}
	.carousel-inner > .next.left,
	.carousel-inner > .prev.right {
	left: 0;
	}
	.carousel-inner > .active.left {
	left: -100%;
	}
	.carousel-inner > .active.right {
	left: 100%;
	}
	.carousel-control {
	position: absolute;
	top: 0;
	left: 0;
	bottom: 0;
	width: 15%;
	opacity: 0.5;
	filter: alpha(opacity=50);
	font-size: 20px;
	color: #fff;
	text-align: center;
	text-shadow: 0 1px 2px rgba(0, 0, 0, 0.6);
	background-color: rgba(0, 0, 0, 0);
	}
	.carousel-control.left {
	background-image: -webkit-linear-gradient(left, rgba(0, 0, 0, 0.5) 0%, rgba(0, 0, 0, 0.0001) 100%);
	background-image: -o-linear-gradient(left, rgba(0, 0, 0, 0.5) 0%, rgba(0, 0, 0, 0.0001) 100%);
	background-image: linear-gradient(to right, rgba(0, 0, 0, 0.5) 0%, rgba(0, 0, 0, 0.0001) 100%);
	background-repeat: repeat-x;
	filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#80000000', endColorstr='#00000000', GradientType=1);
	}
	.carousel-control.right {
	left: auto;
	right: 0;
	background-image: -webkit-linear-gradient(left, rgba(0, 0, 0, 0.0001) 0%, rgba(0, 0, 0, 0.5) 100%);
	background-image: -o-linear-gradient(left, rgba(0, 0, 0, 0.0001) 0%, rgba(0, 0, 0, 0.5) 100%);
	background-image: linear-gradient(to right, rgba(0, 0, 0, 0.0001) 0%, rgba(0, 0, 0, 0.5) 100%);
	background-repeat: repeat-x;
	filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#00000000', endColorstr='#80000000', GradientType=1);
	}
	.carousel-control:hover,
	.carousel-control:focus {
	outline: 0;
	color: #fff;
	text-decoration: none;
	opacity: 0.9;
	filter: alpha(opacity=90);
	}
	.carousel-control .icon-prev,
	.carousel-control .icon-next,
	.carousel-control .glyphicon-chevron-left,
	.carousel-control .glyphicon-chevron-right {
	position: absolute;
	top: 50%;
	margin-top: -10px;
	z-index: 5;
	display: inline-block;
	}
	.carousel-control .icon-prev,
	.carousel-control .glyphicon-chevron-left {
	left: 50%;
	margin-left: -10px;
	}
	.carousel-control .icon-next,
	.carousel-control .glyphicon-chevron-right {
	right: 50%;
	margin-right: -10px;
	}
	.carousel-control .icon-prev,
	.carousel-control .icon-next {
	width: 20px;
	height: 20px;
	line-height: 1;
	font-family: serif;
	}
	.carousel-control .icon-prev:before {
	content: '\2039';
	}
	.carousel-control .icon-next:before {
	content: '\203a';
	}
	.carousel-indicators {
	position: absolute;
	bottom: 10px;
	left: 50%;
	z-index: 15;
	width: 60%;
	margin-left: -30%;
	padding-left: 0;
	list-style: none;
	text-align: center;
	}
	.carousel-indicators li {
	display: inline-block;
	width: 10px;
	height: 10px;
	margin: 1px;
	text-indent: -999px;
	border: 1px solid #fff;
	border-radius: 10px;
	cursor: pointer;
	background-color: #000 \9;
	background-color: rgba(0, 0, 0, 0);
	}
	.carousel-indicators .active {
	margin: 0;
	width: 12px;
	height: 12px;
	background-color: #fff;
	}
	.carousel-caption {
	position: absolute;
	left: 15%;
	right: 15%;
	bottom: 20px;
	z-index: 10;
	padding-top: 20px;
	padding-bottom: 20px;
	color: #fff;
	text-align: center;
	text-shadow: 0 1px 2px rgba(0, 0, 0, 0.6);
	}
	.carousel-caption .btn {
	text-shadow: none;
	}
	@media screen and (min-width: 768px) {
	.carousel-control .glyphicon-chevron-left,
	.carousel-control .glyphicon-chevron-right,
	.carousel-control .icon-prev,
	.carousel-control .icon-next {
	width: 30px;
	height: 30px;
	margin-top: -10px;
	font-size: 30px;
	}
	.carousel-control .glyphicon-chevron-left,
	.carousel-control .icon-prev {
	margin-left: -10px;
	}
	.carousel-control .glyphicon-chevron-right,
	.carousel-control .icon-next {
	margin-right: -10px;
	}
	.carousel-caption {
	left: 20%;
	right: 20%;
	padding-bottom: 30px;
	}
	.carousel-indicators {
	bottom: 20px;
	}
	}
	.clearfix:before,
	.clearfix:after,
	.dl-horizontal dd:before,
	.dl-horizontal dd:after,
	.container:before,
	.container:after,
	.container-fluid:before,
	.container-fluid:after,
	.row:before,
	.row:after,
	.form-horizontal .form-group:before,
	.form-horizontal .form-group:after,
	.btn-toolbar:before,
	.btn-toolbar:after,
	.btn-group-vertical > .btn-group:before,
	.btn-group-vertical > .btn-group:after,
	.nav:before,
	.nav:after,
	.navbar:before,
	.navbar:after,
	.navbar-header:before,
	.navbar-header:after,
	.navbar-collapse:before,
	.navbar-collapse:after,
	.pager:before,
	.pager:after,
	.panel-body:before,
	.panel-body:after,
	.modal-header:before,
	.modal-header:after,
	.modal-footer:before,
	.modal-footer:after,
	.item_buttons:before,
	.item_buttons:after {
	content: " ";
	display: table;
	}
	.clearfix:after,
	.dl-horizontal dd:after,
	.container:after,
	.container-fluid:after,
	.row:after,
	.form-horizontal .form-group:after,
	.btn-toolbar:after,
	.btn-group-vertical > .btn-group:after,
	.nav:after,
	.navbar:after,
	.navbar-header:after,
	.navbar-collapse:after,
	.pager:after,
	.panel-body:after,
	.modal-header:after,
	.modal-footer:after,
	.item_buttons:after {
	clear: both;
	}
	.center-block {
	display: block;
	margin-left: auto;
	margin-right: auto;
	}
	.pull-right {
	float: right !important;
	}
	.pull-left {
	float: left !important;
	}
	.hide {
	display: none !important;
	}
	.show {
	display: block !important;
	}
	.invisible {
	visibility: hidden;
	}
	.text-hide {
	font: 0/0 a;
	color: transparent;
	text-shadow: none;
	background-color: transparent;
	border: 0;
	}
	.hidden {
	display: none !important;
	}
	.affix {
	position: fixed;
	}
	@-ms-viewport {
	width: device-width;
	}
	.visible-xs,
	.visible-sm,
	.visible-md,
	.visible-lg {
	display: none !important;
	}
	.visible-xs-block,
	.visible-xs-inline,
	.visible-xs-inline-block,
	.visible-sm-block,
	.visible-sm-inline,
	.visible-sm-inline-block,
	.visible-md-block,
	.visible-md-inline,
	.visible-md-inline-block,
	.visible-lg-block,
	.visible-lg-inline,
	.visible-lg-inline-block {
	display: none !important;
	}
	@media (max-width: 767px) {
	.visible-xs {
	display: block !important;
	}
	table.visible-xs {
	display: table !important;
	}
	tr.visible-xs {
	display: table-row !important;
	}
	th.visible-xs,
	td.visible-xs {
	display: table-cell !important;
	}
	}
	@media (max-width: 767px) {
	.visible-xs-block {
	display: block !important;
	}
	}
	@media (max-width: 767px) {
	.visible-xs-inline {
	display: inline !important;
	}
	}
	@media (max-width: 767px) {
	.visible-xs-inline-block {
	display: inline-block !important;
	}
	}
	@media (min-width: 768px) and (max-width: 991px) {
	.visible-sm {
	display: block !important;
	}
	table.visible-sm {
	display: table !important;
	}
	tr.visible-sm {
	display: table-row !important;
	}
	th.visible-sm,
	td.visible-sm {
	display: table-cell !important;
	}
	}
	@media (min-width: 768px) and (max-width: 991px) {
	.visible-sm-block {
	display: block !important;
	}
	}
	@media (min-width: 768px) and (max-width: 991px) {
	.visible-sm-inline {
	display: inline !important;
	}
	}
	@media (min-width: 768px) and (max-width: 991px) {
	.visible-sm-inline-block {
	display: inline-block !important;
	}
	}
	@media (min-width: 992px) and (max-width: 1199px) {
	.visible-md {
	display: block !important;
	}
	table.visible-md {
	display: table !important;
	}
	tr.visible-md {
	display: table-row !important;
	}
	th.visible-md,
	td.visible-md {
	display: table-cell !important;
	}
	}
	@media (min-width: 992px) and (max-width: 1199px) {
	.visible-md-block {
	display: block !important;
	}
	}
	@media (min-width: 992px) and (max-width: 1199px) {
	.visible-md-inline {
	display: inline !important;
	}
	}
	@media (min-width: 992px) and (max-width: 1199px) {
	.visible-md-inline-block {
	display: inline-block !important;
	}
	}
	@media (min-width: 1200px) {
	.visible-lg {
	display: block !important;
	}
	table.visible-lg {
	display: table !important;
	}
	tr.visible-lg {
	display: table-row !important;
	}
	th.visible-lg,
	td.visible-lg {
	display: table-cell !important;
	}
	}
	@media (min-width: 1200px) {
	.visible-lg-block {
	display: block !important;
	}
	}
	@media (min-width: 1200px) {
	.visible-lg-inline {
	display: inline !important;
	}
	}
	@media (min-width: 1200px) {
	.visible-lg-inline-block {
	display: inline-block !important;
	}
	}
	@media (max-width: 767px) {
	.hidden-xs {
	display: none !important;
	}
	}
	@media (min-width: 768px) and (max-width: 991px) {
	.hidden-sm {
	display: none !important;
	}
	}
	@media (min-width: 992px) and (max-width: 1199px) {
	.hidden-md {
	display: none !important;
	}
	}
	@media (min-width: 1200px) {
	.hidden-lg {
	display: none !important;
	}
	}
	.visible-print {
	display: none !important;
	}
	@media print {
	.visible-print {
	display: block !important;
	}
	table.visible-print {
	display: table !important;
	}
	tr.visible-print {
	display: table-row !important;
	}
	th.visible-print,
	td.visible-print {
	display: table-cell !important;
	}
	}
	.visible-print-block {
	display: none !important;
	}
	@media print {
	.visible-print-block {
	display: block !important;
	}
	}
	.visible-print-inline {
	display: none !important;
	}
	@media print {
	.visible-print-inline {
	display: inline !important;
	}
	}
	.visible-print-inline-block {
	display: none !important;
	}
	@media print {
	.visible-print-inline-block {
	display: inline-block !important;
	}
	}
	@media print {
	.hidden-print {
	display: none !important;
	}
	}
	/*!
	*
	* Font Awesome
	*
	*/
	/*!
	* Font Awesome 4.7.0 by @davegandy - http://fontawesome.io - @fontawesome
	* License - http://fontawesome.io/license (Font: SIL OFL 1.1, CSS: MIT License)
	*/
	/* FONT PATH
	* -------------------------- */
	@font-face {
	font-family: 'FontAwesome';
	src: url('../components/font-awesome/fonts/fontawesome-webfont.eot?v=4.7.0');
	src: url('../components/font-awesome/fonts/fontawesome-webfont.eot?#iefix&v=4.7.0') format('embedded-opentype'), url('../components/font-awesome/fonts/fontawesome-webfont.woff2?v=4.7.0') format('woff2'), url('../components/font-awesome/fonts/fontawesome-webfont.woff?v=4.7.0') format('woff'), url('../components/font-awesome/fonts/fontawesome-webfont.ttf?v=4.7.0') format('truetype'), url('../components/font-awesome/fonts/fontawesome-webfont.svg?v=4.7.0#fontawesomeregular') format('svg');
	font-weight: normal;
	font-style: normal;
	}
	.fa {
	display: inline-block;
	font: normal normal normal 14px/1 FontAwesome;
	font-size: inherit;
	text-rendering: auto;
	-webkit-font-smoothing: antialiased;
	-moz-osx-font-smoothing: grayscale;
	}
	/* makes the font 33% larger relative to the icon container */
	.fa-lg {
	font-size: 1.33333333em;
	line-height: 0.75em;
	vertical-align: -15%;
	}
	.fa-2x {
	font-size: 2em;
	}
	.fa-3x {
	font-size: 3em;
	}
	.fa-4x {
	font-size: 4em;
	}
	.fa-5x {
	font-size: 5em;
	}
	.fa-fw {
	width: 1.28571429em;
	text-align: center;
	}
	.fa-ul {
	padding-left: 0;
	margin-left: 2.14285714em;
	list-style-type: none;
	}
	.fa-ul > li {
	position: relative;
	}
	.fa-li {
	position: absolute;
	left: -2.14285714em;
	width: 2.14285714em;
	top: 0.14285714em;
	text-align: center;
	}
	.fa-li.fa-lg {
	left: -1.85714286em;
	}
	.fa-border {
	padding: .2em .25em .15em;
	border: solid 0.08em #eee;
	border-radius: .1em;
	}
	.fa-pull-left {
	float: left;
	}
	.fa-pull-right {
	float: right;
	}
	.fa.fa-pull-left {
	margin-right: .3em;
	}
	.fa.fa-pull-right {
	margin-left: .3em;
	}
	/* Deprecated as of 4.4.0 */
	.pull-right {
	float: right;
	}
	.pull-left {
	float: left;
	}
	.fa.pull-left {
	margin-right: .3em;
	}
	.fa.pull-right {
	margin-left: .3em;
	}
	.fa-spin {
	-webkit-animation: fa-spin 2s infinite linear;
	animation: fa-spin 2s infinite linear;
	}
	.fa-pulse {
	-webkit-animation: fa-spin 1s infinite steps(8);
	animation: fa-spin 1s infinite steps(8);
	}
	@-webkit-keyframes fa-spin {
	0% {
	-webkit-transform: rotate(0deg);
	transform: rotate(0deg);
	}
	100% {
	-webkit-transform: rotate(359deg);
	transform: rotate(359deg);
	}
	}
	@keyframes fa-spin {
	0% {
	-webkit-transform: rotate(0deg);
	transform: rotate(0deg);
	}
	100% {
	-webkit-transform: rotate(359deg);
	transform: rotate(359deg);
	}
	}
	.fa-rotate-90 {
	-ms-filter: "progid:DXImageTransform.Microsoft.BasicImage(rotation=1)";
	-webkit-transform: rotate(90deg);
	-ms-transform: rotate(90deg);
	transform: rotate(90deg);
	}
	.fa-rotate-180 {
	-ms-filter: "progid:DXImageTransform.Microsoft.BasicImage(rotation=2)";
	-webkit-transform: rotate(180deg);
	-ms-transform: rotate(180deg);
	transform: rotate(180deg);
	}
	.fa-rotate-270 {
	-ms-filter: "progid:DXImageTransform.Microsoft.BasicImage(rotation=3)";
	-webkit-transform: rotate(270deg);
	-ms-transform: rotate(270deg);
	transform: rotate(270deg);
	}
	.fa-flip-horizontal {
	-ms-filter: "progid:DXImageTransform.Microsoft.BasicImage(rotation=0, mirror=1)";
	-webkit-transform: scale(-1, 1);
	-ms-transform: scale(-1, 1);
	transform: scale(-1, 1);
	}
	.fa-flip-vertical {
	-ms-filter: "progid:DXImageTransform.Microsoft.BasicImage(rotation=2, mirror=1)";
	-webkit-transform: scale(1, -1);
	-ms-transform: scale(1, -1);
	transform: scale(1, -1);
	}
	:root .fa-rotate-90,
	:root .fa-rotate-180,
	:root .fa-rotate-270,
	:root .fa-flip-horizontal,
	:root .fa-flip-vertical {
	filter: none;
	}
	.fa-stack {
	position: relative;
	display: inline-block;
	width: 2em;
	height: 2em;
	line-height: 2em;
	vertical-align: middle;
	}
	.fa-stack-1x,
	.fa-stack-2x {
	position: absolute;
	left: 0;
	width: 100%;
	text-align: center;
	}
	.fa-stack-1x {
	line-height: inherit;
	}
	.fa-stack-2x {
	font-size: 2em;
	}
	.fa-inverse {
	color: #fff;
	}
	/* Font Awesome uses the Unicode Private Use Area (PUA) to ensure screen
	readers do not read off random characters that represent icons */
	.fa-glass:before {
	content: "\f000";
	}
	.fa-music:before {
	content: "\f001";
	}
	.fa-search:before {
	content: "\f002";
	}
	.fa-envelope-o:before {
	content: "\f003";
	}
	.fa-heart:before {
	content: "\f004";
	}
	.fa-star:before {
	content: "\f005";
	}
	.fa-star-o:before {
	content: "\f006";
	}
	.fa-user:before {
	content: "\f007";
	}
	.fa-film:before {
	content: "\f008";
	}
	.fa-th-large:before {
	content: "\f009";
	}
	.fa-th:before {
	content: "\f00a";
	}
	.fa-th-list:before {
	content: "\f00b";
	}
	.fa-check:before {
	content: "\f00c";
	}
	.fa-remove:before,
	.fa-close:before,
	.fa-times:before {
	content: "\f00d";
	}
	.fa-search-plus:before {
	content: "\f00e";
	}
	.fa-search-minus:before {
	content: "\f010";
	}
	.fa-power-off:before {
	content: "\f011";
	}
	.fa-signal:before {
	content: "\f012";
	}
	.fa-gear:before,
	.fa-cog:before {
	content: "\f013";
	}
	.fa-trash-o:before {
	content: "\f014";
	}
	.fa-home:before {
	content: "\f015";
	}
	.fa-file-o:before {
	content: "\f016";
	}
	.fa-clock-o:before {
	content: "\f017";
	}
	.fa-road:before {
	content: "\f018";
	}
	.fa-download:before {
	content: "\f019";
	}
	.fa-arrow-circle-o-down:before {
	content: "\f01a";
	}
	.fa-arrow-circle-o-up:before {
	content: "\f01b";
	}
	.fa-inbox:before {
	content: "\f01c";
	}
	.fa-play-circle-o:before {
	content: "\f01d";
	}
	.fa-rotate-right:before,
	.fa-repeat:before {
	content: "\f01e";
	}
	.fa-refresh:before {
	content: "\f021";
	}
	.fa-list-alt:before {
	content: "\f022";
	}
	.fa-lock:before {
	content: "\f023";
	}
	.fa-flag:before {
	content: "\f024";
	}
	.fa-headphones:before {
	content: "\f025";
	}
	.fa-volume-off:before {
	content: "\f026";
	}
	.fa-volume-down:before {
	content: "\f027";
	}
	.fa-volume-up:before {
	content: "\f028";
	}
	.fa-qrcode:before {
	content: "\f029";
	}
	.fa-barcode:before {
	content: "\f02a";
	}
	.fa-tag:before {
	content: "\f02b";
	}
	.fa-tags:before {
	content: "\f02c";
	}
	.fa-book:before {
	content: "\f02d";
	}
	.fa-bookmark:before {
	content: "\f02e";
	}
	.fa-print:before {
	content: "\f02f";
	}
	.fa-camera:before {
	content: "\f030";
	}
	.fa-font:before {
	content: "\f031";
	}
	.fa-bold:before {
	content: "\f032";
	}
	.fa-italic:before {
	content: "\f033";
	}
	.fa-text-height:before {
	content: "\f034";
	}
	.fa-text-width:before {
	content: "\f035";
	}
	.fa-align-left:before {
	content: "\f036";
	}
	.fa-align-center:before {
	content: "\f037";
	}
	.fa-align-right:before {
	content: "\f038";
	}
	.fa-align-justify:before {
	content: "\f039";
	}
	.fa-list:before {
	content: "\f03a";
	}
	.fa-dedent:before,
	.fa-outdent:before {
	content: "\f03b";
	}
	.fa-indent:before {
	content: "\f03c";
	}
	.fa-video-camera:before {
	content: "\f03d";
	}
	.fa-photo:before,
	.fa-image:before,
	.fa-picture-o:before {
	content: "\f03e";
	}
	.fa-pencil:before {
	content: "\f040";
	}
	.fa-map-marker:before {
	content: "\f041";
	}
	.fa-adjust:before {
	content: "\f042";
	}
	.fa-tint:before {
	content: "\f043";
	}
	.fa-edit:before,
	.fa-pencil-square-o:before {
	content: "\f044";
	}
	.fa-share-square-o:before {
	content: "\f045";
	}
	.fa-check-square-o:before {
	content: "\f046";
	}
	.fa-arrows:before {
	content: "\f047";
	}
	.fa-step-backward:before {
	content: "\f048";
	}
	.fa-fast-backward:before {
	content: "\f049";
	}
	.fa-backward:before {
	content: "\f04a";
	}
	.fa-play:before {
	content: "\f04b";
	}
	.fa-pause:before {
	content: "\f04c";
	}
	.fa-stop:before {
	content: "\f04d";
	}
	.fa-forward:before {
	content: "\f04e";
	}
	.fa-fast-forward:before {
	content: "\f050";
	}
	.fa-step-forward:before {
	content: "\f051";
	}
	.fa-eject:before {
	content: "\f052";
	}
	.fa-chevron-left:before {
	content: "\f053";
	}
	.fa-chevron-right:before {
	content: "\f054";
	}
	.fa-plus-circle:before {
	content: "\f055";
	}
	.fa-minus-circle:before {
	content: "\f056";
	}
	.fa-times-circle:before {
	content: "\f057";
	}
	.fa-check-circle:before {
	content: "\f058";
	}
	.fa-question-circle:before {
	content: "\f059";
	}
	.fa-info-circle:before {
	content: "\f05a";
	}
	.fa-crosshairs:before {
	content: "\f05b";
	}
	.fa-times-circle-o:before {
	content: "\f05c";
	}
	.fa-check-circle-o:before {
	content: "\f05d";
	}
	.fa-ban:before {
	content: "\f05e";
	}
	.fa-arrow-left:before {
	content: "\f060";
	}
	.fa-arrow-right:before {
	content: "\f061";
	}
	.fa-arrow-up:before {
	content: "\f062";
	}
	.fa-arrow-down:before {
	content: "\f063";
	}
	.fa-mail-forward:before,
	.fa-share:before {
	content: "\f064";
	}
	.fa-expand:before {
	content: "\f065";
	}
	.fa-compress:before {
	content: "\f066";
	}
	.fa-plus:before {
	content: "\f067";
	}
	.fa-minus:before {
	content: "\f068";
	}
	.fa-asterisk:before {
	content: "\f069";
	}
	.fa-exclamation-circle:before {
	content: "\f06a";
	}
	.fa-gift:before {
	content: "\f06b";
	}
	.fa-leaf:before {
	content: "\f06c";
	}
	.fa-fire:before {
	content: "\f06d";
	}
	.fa-eye:before {
	content: "\f06e";
	}
	.fa-eye-slash:before {
	content: "\f070";
	}
	.fa-warning:before,
	.fa-exclamation-triangle:before {
	content: "\f071";
	}
	.fa-plane:before {
	content: "\f072";
	}
	.fa-calendar:before {
	content: "\f073";
	}
	.fa-random:before {
	content: "\f074";
	}
	.fa-comment:before {
	content: "\f075";
	}
	.fa-magnet:before {
	content: "\f076";
	}
	.fa-chevron-up:before {
	content: "\f077";
	}
	.fa-chevron-down:before {
	content: "\f078";
	}
	.fa-retweet:before {
	content: "\f079";
	}
	.fa-shopping-cart:before {
	content: "\f07a";
	}
	.fa-folder:before {
	content: "\f07b";
	}
	.fa-folder-open:before {
	content: "\f07c";
	}
	.fa-arrows-v:before {
	content: "\f07d";
	}
	.fa-arrows-h:before {
	content: "\f07e";
	}
	.fa-bar-chart-o:before,
	.fa-bar-chart:before {
	content: "\f080";
	}
	.fa-twitter-square:before {
	content: "\f081";
	}
	.fa-facebook-square:before {
	content: "\f082";
	}
	.fa-camera-retro:before {
	content: "\f083";
	}
	.fa-key:before {
	content: "\f084";
	}
	.fa-gears:before,
	.fa-cogs:before {
	content: "\f085";
	}
	.fa-comments:before {
	content: "\f086";
	}
	.fa-thumbs-o-up:before {
	content: "\f087";
	}
	.fa-thumbs-o-down:before {
	content: "\f088";
	}
	.fa-star-half:before {
	content: "\f089";
	}
	.fa-heart-o:before {
	content: "\f08a";
	}
	.fa-sign-out:before {
	content: "\f08b";
	}
	.fa-linkedin-square:before {
	content: "\f08c";
	}
	.fa-thumb-tack:before {
	content: "\f08d";
	}
	.fa-external-link:before {
	content: "\f08e";
	}
	.fa-sign-in:before {
	content: "\f090";
	}
	.fa-trophy:before {
	content: "\f091";
	}
	.fa-github-square:before {
	content: "\f092";
	}
	.fa-upload:before {
	content: "\f093";
	}
	.fa-lemon-o:before {
	content: "\f094";
	}
	.fa-phone:before {
	content: "\f095";
	}
	.fa-square-o:before {
	content: "\f096";
	}
	.fa-bookmark-o:before {
	content: "\f097";
	}
	.fa-phone-square:before {
	content: "\f098";
	}
	.fa-twitter:before {
	content: "\f099";
	}
	.fa-facebook-f:before,
	.fa-facebook:before {
	content: "\f09a";
	}
	.fa-github:before {
	content: "\f09b";
	}
	.fa-unlock:before {
	content: "\f09c";
	}
	.fa-credit-card:before {
	content: "\f09d";
	}
	.fa-feed:before,
	.fa-rss:before {
	content: "\f09e";
	}
	.fa-hdd-o:before {
	content: "\f0a0";
	}
	.fa-bullhorn:before {
	content: "\f0a1";
	}
	.fa-bell:before {
	content: "\f0f3";
	}
	.fa-certificate:before {
	content: "\f0a3";
	}
	.fa-hand-o-right:before {
	content: "\f0a4";
	}
	.fa-hand-o-left:before {
	content: "\f0a5";
	}
	.fa-hand-o-up:before {
	content: "\f0a6";
	}
	.fa-hand-o-down:before {
	content: "\f0a7";
	}
	.fa-arrow-circle-left:before {
	content: "\f0a8";
	}
	.fa-arrow-circle-right:before {
	content: "\f0a9";
	}
	.fa-arrow-circle-up:before {
	content: "\f0aa";
	}
	.fa-arrow-circle-down:before {
	content: "\f0ab";
	}
	.fa-globe:before {
	content: "\f0ac";
	}
	.fa-wrench:before {
	content: "\f0ad";
	}
	.fa-tasks:before {
	content: "\f0ae";
	}
	.fa-filter:before {
	content: "\f0b0";
	}
	.fa-briefcase:before {
	content: "\f0b1";
	}
	.fa-arrows-alt:before {
	content: "\f0b2";
	}
	.fa-group:before,
	.fa-users:before {
	content: "\f0c0";
	}
	.fa-chain:before,
	.fa-link:before {
	content: "\f0c1";
	}
	.fa-cloud:before {
	content: "\f0c2";
	}
	.fa-flask:before {
	content: "\f0c3";
	}
	.fa-cut:before,
	.fa-scissors:before {
	content: "\f0c4";
	}
	.fa-copy:before,
	.fa-files-o:before {
	content: "\f0c5";
	}
	.fa-paperclip:before {
	content: "\f0c6";
	}
	.fa-save:before,
	.fa-floppy-o:before {
	content: "\f0c7";
	}
	.fa-square:before {
	content: "\f0c8";
	}
	.fa-navicon:before,
	.fa-reorder:before,
	.fa-bars:before {
	content: "\f0c9";
	}
	.fa-list-ul:before {
	content: "\f0ca";
	}
	.fa-list-ol:before {
	content: "\f0cb";
	}
	.fa-strikethrough:before {
	content: "\f0cc";
	}
	.fa-underline:before {
	content: "\f0cd";
	}
	.fa-table:before {
	content: "\f0ce";
	}
	.fa-magic:before {
	content: "\f0d0";
	}
	.fa-truck:before {
	content: "\f0d1";
	}
	.fa-pinterest:before {
	content: "\f0d2";
	}
	.fa-pinterest-square:before {
	content: "\f0d3";
	}
	.fa-google-plus-square:before {
	content: "\f0d4";
	}
	.fa-google-plus:before {
	content: "\f0d5";
	}
	.fa-money:before {
	content: "\f0d6";
	}
	.fa-caret-down:before {
	content: "\f0d7";
	}
	.fa-caret-up:before {
	content: "\f0d8";
	}
	.fa-caret-left:before {
	content: "\f0d9";
	}
	.fa-caret-right:before {
	content: "\f0da";
	}
	.fa-columns:before {
	content: "\f0db";
	}
	.fa-unsorted:before,
	.fa-sort:before {
	content: "\f0dc";
	}
	.fa-sort-down:before,
	.fa-sort-desc:before {
	content: "\f0dd";
	}
	.fa-sort-up:before,
	.fa-sort-asc:before {
	content: "\f0de";
	}
	.fa-envelope:before {
	content: "\f0e0";
	}
	.fa-linkedin:before {
	content: "\f0e1";
	}
	.fa-rotate-left:before,
	.fa-undo:before {
	content: "\f0e2";
	}
	.fa-legal:before,
	.fa-gavel:before {
	content: "\f0e3";
	}
	.fa-dashboard:before,
	.fa-tachometer:before {
	content: "\f0e4";
	}
	.fa-comment-o:before {
	content: "\f0e5";
	}
	.fa-comments-o:before {
	content: "\f0e6";
	}
	.fa-flash:before,
	.fa-bolt:before {
	content: "\f0e7";
	}
	.fa-sitemap:before {
	content: "\f0e8";
	}
	.fa-umbrella:before {
	content: "\f0e9";
	}
	.fa-paste:before,
	.fa-clipboard:before {
	content: "\f0ea";
	}
	.fa-lightbulb-o:before {
	content: "\f0eb";
	}
	.fa-exchange:before {
	content: "\f0ec";
	}
	.fa-cloud-download:before {
	content: "\f0ed";
	}
	.fa-cloud-upload:before {
	content: "\f0ee";
	}
	.fa-user-md:before {
	content: "\f0f0";
	}
	.fa-stethoscope:before {
	content: "\f0f1";
	}
	.fa-suitcase:before {
	content: "\f0f2";
	}
	.fa-bell-o:before {
	content: "\f0a2";
	}
	.fa-coffee:before {
	content: "\f0f4";
	}
	.fa-cutlery:before {
	content: "\f0f5";
	}
	.fa-file-text-o:before {
	content: "\f0f6";
	}
	.fa-building-o:before {
	content: "\f0f7";
	}
	.fa-hospital-o:before {
	content: "\f0f8";
	}
	.fa-ambulance:before {
	content: "\f0f9";
	}
	.fa-medkit:before {
	content: "\f0fa";
	}
	.fa-fighter-jet:before {
	content: "\f0fb";
	}
	.fa-beer:before {
	content: "\f0fc";
	}
	.fa-h-square:before {
	content: "\f0fd";
	}
	.fa-plus-square:before {
	content: "\f0fe";
	}
	.fa-angle-double-left:before {
	content: "\f100";
	}
	.fa-angle-double-right:before {
	content: "\f101";
	}
	.fa-angle-double-up:before {
	content: "\f102";
	}
	.fa-angle-double-down:before {
	content: "\f103";
	}
	.fa-angle-left:before {
	content: "\f104";
	}
	.fa-angle-right:before {
	content: "\f105";
	}
	.fa-angle-up:before {
	content: "\f106";
	}
	.fa-angle-down:before {
	content: "\f107";
	}
	.fa-desktop:before {
	content: "\f108";
	}
	.fa-laptop:before {
	content: "\f109";
	}
	.fa-tablet:before {
	content: "\f10a";
	}
	.fa-mobile-phone:before,
	.fa-mobile:before {
	content: "\f10b";
	}
	.fa-circle-o:before {
	content: "\f10c";
	}
	.fa-quote-left:before {
	content: "\f10d";
	}
	.fa-quote-right:before {
	content: "\f10e";
	}
	.fa-spinner:before {
	content: "\f110";
	}
	.fa-circle:before {
	content: "\f111";
	}
	.fa-mail-reply:before,
	.fa-reply:before {
	content: "\f112";
	}
	.fa-github-alt:before {
	content: "\f113";
	}
	.fa-folder-o:before {
	content: "\f114";
	}
	.fa-folder-open-o:before {
	content: "\f115";
	}
	.fa-smile-o:before {
	content: "\f118";
	}
	.fa-frown-o:before {
	content: "\f119";
	}
	.fa-meh-o:before {
	content: "\f11a";
	}
	.fa-gamepad:before {
	content: "\f11b";
	}
	.fa-keyboard-o:before {
	content: "\f11c";
	}
	.fa-flag-o:before {
	content: "\f11d";
	}
	.fa-flag-checkered:before {
	content: "\f11e";
	}
	.fa-terminal:before {
	content: "\f120";
	}
	.fa-code:before {
	content: "\f121";
	}
	.fa-mail-reply-all:before,
	.fa-reply-all:before {
	content: "\f122";
	}
	.fa-star-half-empty:before,
	.fa-star-half-full:before,
	.fa-star-half-o:before {
	content: "\f123";
	}
	.fa-location-arrow:before {
	content: "\f124";
	}
	.fa-crop:before {
	content: "\f125";
	}
	.fa-code-fork:before {
	content: "\f126";
	}
	.fa-unlink:before,
	.fa-chain-broken:before {
	content: "\f127";
	}
	.fa-question:before {
	content: "\f128";
	}
	.fa-info:before {
	content: "\f129";
	}
	.fa-exclamation:before {
	content: "\f12a";
	}
	.fa-superscript:before {
	content: "\f12b";
	}
	.fa-subscript:before {
	content: "\f12c";
	}
	.fa-eraser:before {
	content: "\f12d";
	}
	.fa-puzzle-piece:before {
	content: "\f12e";
	}
	.fa-microphone:before {
	content: "\f130";
	}
	.fa-microphone-slash:before {
	content: "\f131";
	}
	.fa-shield:before {
	content: "\f132";
	}
	.fa-calendar-o:before {
	content: "\f133";
	}
	.fa-fire-extinguisher:before {
	content: "\f134";
	}
	.fa-rocket:before {
	content: "\f135";
	}
	.fa-maxcdn:before {
	content: "\f136";
	}
	.fa-chevron-circle-left:before {
	content: "\f137";
	}
	.fa-chevron-circle-right:before {
	content: "\f138";
	}
	.fa-chevron-circle-up:before {
	content: "\f139";
	}
	.fa-chevron-circle-down:before {
	content: "\f13a";
	}
	.fa-html5:before {
	content: "\f13b";
	}
	.fa-css3:before {
	content: "\f13c";
	}
	.fa-anchor:before {
	content: "\f13d";
	}
	.fa-unlock-alt:before {
	content: "\f13e";
	}
	.fa-bullseye:before {
	content: "\f140";
	}
	.fa-ellipsis-h:before {
	content: "\f141";
	}
	.fa-ellipsis-v:before {
	content: "\f142";
	}
	.fa-rss-square:before {
	content: "\f143";
	}
	.fa-play-circle:before {
	content: "\f144";
	}
	.fa-ticket:before {
	content: "\f145";
	}
	.fa-minus-square:before {
	content: "\f146";
	}
	.fa-minus-square-o:before {
	content: "\f147";
	}
	.fa-level-up:before {
	content: "\f148";
	}
	.fa-level-down:before {
	content: "\f149";
	}
	.fa-check-square:before {
	content: "\f14a";
	}
	.fa-pencil-square:before {
	content: "\f14b";
	}
	.fa-external-link-square:before {
	content: "\f14c";
	}
	.fa-share-square:before {
	content: "\f14d";
	}
	.fa-compass:before {
	content: "\f14e";
	}
	.fa-toggle-down:before,
	.fa-caret-square-o-down:before {
	content: "\f150";
	}
	.fa-toggle-up:before,
	.fa-caret-square-o-up:before {
	content: "\f151";
	}
	.fa-toggle-right:before,
	.fa-caret-square-o-right:before {
	content: "\f152";
	}
	.fa-euro:before,
	.fa-eur:before {
	content: "\f153";
	}
	.fa-gbp:before {
	content: "\f154";
	}
	.fa-dollar:before,
	.fa-usd:before {
	content: "\f155";
	}
	.fa-rupee:before,
	.fa-inr:before {
	content: "\f156";
	}
	.fa-cny:before,
	.fa-rmb:before,
	.fa-yen:before,
	.fa-jpy:before {
	content: "\f157";
	}
	.fa-ruble:before,
	.fa-rouble:before,
	.fa-rub:before {
	content: "\f158";
	}
	.fa-won:before,
	.fa-krw:before {
	content: "\f159";
	}
	.fa-bitcoin:before,
	.fa-btc:before {
	content: "\f15a";
	}
	.fa-file:before {
	content: "\f15b";
	}
	.fa-file-text:before {
	content: "\f15c";
	}
	.fa-sort-alpha-asc:before {
	content: "\f15d";
	}
	.fa-sort-alpha-desc:before {
	content: "\f15e";
	}
	.fa-sort-amount-asc:before {
	content: "\f160";
	}
	.fa-sort-amount-desc:before {
	content: "\f161";
	}
	.fa-sort-numeric-asc:before {
	content: "\f162";
	}
	.fa-sort-numeric-desc:before {
	content: "\f163";
	}
	.fa-thumbs-up:before {
	content: "\f164";
	}
	.fa-thumbs-down:before {
	content: "\f165";
	}
	.fa-youtube-square:before {
	content: "\f166";
	}
	.fa-youtube:before {
	content: "\f167";
	}
	.fa-xing:before {
	content: "\f168";
	}
	.fa-xing-square:before {
	content: "\f169";
	}
	.fa-youtube-play:before {
	content: "\f16a";
	}
	.fa-dropbox:before {
	content: "\f16b";
	}
	.fa-stack-overflow:before {
	content: "\f16c";
	}
	.fa-instagram:before {
	content: "\f16d";
	}
	.fa-flickr:before {
	content: "\f16e";
	}
	.fa-adn:before {
	content: "\f170";
	}
	.fa-bitbucket:before {
	content: "\f171";
	}
	.fa-bitbucket-square:before {
	content: "\f172";
	}
	.fa-tumblr:before {
	content: "\f173";
	}
	.fa-tumblr-square:before {
	content: "\f174";
	}
	.fa-long-arrow-down:before {
	content: "\f175";
	}
	.fa-long-arrow-up:before {
	content: "\f176";
	}
	.fa-long-arrow-left:before {
	content: "\f177";
	}
	.fa-long-arrow-right:before {
	content: "\f178";
	}
	.fa-apple:before {
	content: "\f179";
	}
	.fa-windows:before {
	content: "\f17a";
	}
	.fa-android:before {
	content: "\f17b";
	}
	.fa-linux:before {
	content: "\f17c";
	}
	.fa-dribbble:before {
	content: "\f17d";
	}
	.fa-skype:before {
	content: "\f17e";
	}
	.fa-foursquare:before {
	content: "\f180";
	}
	.fa-trello:before {
	content: "\f181";
	}
	.fa-female:before {
	content: "\f182";
	}
	.fa-male:before {
	content: "\f183";
	}
	.fa-gittip:before,
	.fa-gratipay:before {
	content: "\f184";
	}
	.fa-sun-o:before {
	content: "\f185";
	}
	.fa-moon-o:before {
	content: "\f186";
	}
	.fa-archive:before {
	content: "\f187";
	}
	.fa-bug:before {
	content: "\f188";
	}
	.fa-vk:before {
	content: "\f189";
	}
	.fa-weibo:before {
	content: "\f18a";
	}
	.fa-renren:before {
	content: "\f18b";
	}
	.fa-pagelines:before {
	content: "\f18c";
	}
	.fa-stack-exchange:before {
	content: "\f18d";
	}
	.fa-arrow-circle-o-right:before {
	content: "\f18e";
	}
	.fa-arrow-circle-o-left:before {
	content: "\f190";
	}
	.fa-toggle-left:before,
	.fa-caret-square-o-left:before {
	content: "\f191";
	}
	.fa-dot-circle-o:before {
	content: "\f192";
	}
	.fa-wheelchair:before {
	content: "\f193";
	}
	.fa-vimeo-square:before {
	content: "\f194";
	}
	.fa-turkish-lira:before,
	.fa-try:before {
	content: "\f195";
	}
	.fa-plus-square-o:before {
	content: "\f196";
	}
	.fa-space-shuttle:before {
	content: "\f197";
	}
	.fa-slack:before {
	content: "\f198";
	}
	.fa-envelope-square:before {
	content: "\f199";
	}
	.fa-wordpress:before {
	content: "\f19a";
	}
	.fa-openid:before {
	content: "\f19b";
	}
	.fa-institution:before,
	.fa-bank:before,
	.fa-university:before {
	content: "\f19c";
	}
	.fa-mortar-board:before,
	.fa-graduation-cap:before {
	content: "\f19d";
	}
	.fa-yahoo:before {
	content: "\f19e";
	}
	.fa-google:before {
	content: "\f1a0";
	}
	.fa-reddit:before {
	content: "\f1a1";
	}
	.fa-reddit-square:before {
	content: "\f1a2";
	}
	.fa-stumbleupon-circle:before {
	content: "\f1a3";
	}
	.fa-stumbleupon:before {
	content: "\f1a4";
	}
	.fa-delicious:before {
	content: "\f1a5";
	}
	.fa-digg:before {
	content: "\f1a6";
	}
	.fa-pied-piper-pp:before {
	content: "\f1a7";
	}
	.fa-pied-piper-alt:before {
	content: "\f1a8";
	}
	.fa-drupal:before {
	content: "\f1a9";
	}
	.fa-joomla:before {
	content: "\f1aa";
	}
	.fa-language:before {
	content: "\f1ab";
	}
	.fa-fax:before {
	content: "\f1ac";
	}
	.fa-building:before {
	content: "\f1ad";
	}
	.fa-child:before {
	content: "\f1ae";
	}
	.fa-paw:before {
	content: "\f1b0";
	}
	.fa-spoon:before {
	content: "\f1b1";
	}
	.fa-cube:before {
	content: "\f1b2";
	}
	.fa-cubes:before {
	content: "\f1b3";
	}
	.fa-behance:before {
	content: "\f1b4";
	}
	.fa-behance-square:before {
	content: "\f1b5";
	}
	.fa-steam:before {
	content: "\f1b6";
	}
	.fa-steam-square:before {
	content: "\f1b7";
	}
	.fa-recycle:before {
	content: "\f1b8";
	}
	.fa-automobile:before,
	.fa-car:before {
	content: "\f1b9";
	}
	.fa-cab:before,
	.fa-taxi:before {
	content: "\f1ba";
	}
	.fa-tree:before {
	content: "\f1bb";
	}
	.fa-spotify:before {
	content: "\f1bc";
	}
	.fa-deviantart:before {
	content: "\f1bd";
	}
	.fa-soundcloud:before {
	content: "\f1be";
	}
	.fa-database:before {
	content: "\f1c0";
	}
	.fa-file-pdf-o:before {
	content: "\f1c1";
	}
	.fa-file-word-o:before {
	content: "\f1c2";
	}
	.fa-file-excel-o:before {
	content: "\f1c3";
	}
	.fa-file-powerpoint-o:before {
	content: "\f1c4";
	}
	.fa-file-photo-o:before,
	.fa-file-picture-o:before,
	.fa-file-image-o:before {
	content: "\f1c5";
	}
	.fa-file-zip-o:before,
	.fa-file-archive-o:before {
	content: "\f1c6";
	}
	.fa-file-sound-o:before,
	.fa-file-audio-o:before {
	content: "\f1c7";
	}
	.fa-file-movie-o:before,
	.fa-file-video-o:before {
	content: "\f1c8";
	}
	.fa-file-code-o:before {
	content: "\f1c9";
	}
	.fa-vine:before {
	content: "\f1ca";
	}
	.fa-codepen:before {
	content: "\f1cb";
	}
	.fa-jsfiddle:before {
	content: "\f1cc";
	}
	.fa-life-bouy:before,
	.fa-life-buoy:before,
	.fa-life-saver:before,
	.fa-support:before,
	.fa-life-ring:before {
	content: "\f1cd";
	}
	.fa-circle-o-notch:before {
	content: "\f1ce";
	}
	.fa-ra:before,
	.fa-resistance:before,
	.fa-rebel:before {
	content: "\f1d0";
	}
	.fa-ge:before,
	.fa-empire:before {
	content: "\f1d1";
	}
	.fa-git-square:before {
	content: "\f1d2";
	}
	.fa-git:before {
	content: "\f1d3";
	}
	.fa-y-combinator-square:before,
	.fa-yc-square:before,
	.fa-hacker-news:before {
	content: "\f1d4";
	}
	.fa-tencent-weibo:before {
	content: "\f1d5";
	}
	.fa-qq:before {
	content: "\f1d6";
	}
	.fa-wechat:before,
	.fa-weixin:before {
	content: "\f1d7";
	}
	.fa-send:before,
	.fa-paper-plane:before {
	content: "\f1d8";
	}
	.fa-send-o:before,
	.fa-paper-plane-o:before {
	content: "\f1d9";
	}
	.fa-history:before {
	content: "\f1da";
	}
	.fa-circle-thin:before {
	content: "\f1db";
	}
	.fa-header:before {
	content: "\f1dc";
	}
	.fa-paragraph:before {
	content: "\f1dd";
	}
	.fa-sliders:before {
	content: "\f1de";
	}
	.fa-share-alt:before {
	content: "\f1e0";
	}
	.fa-share-alt-square:before {
	content: "\f1e1";
	}
	.fa-bomb:before {
	content: "\f1e2";
	}
	.fa-soccer-ball-o:before,
	.fa-futbol-o:before {
	content: "\f1e3";
	}
	.fa-tty:before {
	content: "\f1e4";
	}
	.fa-binoculars:before {
	content: "\f1e5";
	}
	.fa-plug:before {
	content: "\f1e6";
	}
	.fa-slideshare:before {
	content: "\f1e7";
	}
	.fa-twitch:before {
	content: "\f1e8";
	}
	.fa-yelp:before {
	content: "\f1e9";
	}
	.fa-newspaper-o:before {
	content: "\f1ea";
	}
	.fa-wifi:before {
	content: "\f1eb";
	}
	.fa-calculator:before {
	content: "\f1ec";
	}
	.fa-paypal:before {
	content: "\f1ed";
	}
	.fa-google-wallet:before {
	content: "\f1ee";
	}
	.fa-cc-visa:before {
	content: "\f1f0";
	}
	.fa-cc-mastercard:before {
	content: "\f1f1";
	}
	.fa-cc-discover:before {
	content: "\f1f2";
	}
	.fa-cc-amex:before {
	content: "\f1f3";
	}
	.fa-cc-paypal:before {
	content: "\f1f4";
	}
	.fa-cc-stripe:before {
	content: "\f1f5";
	}
	.fa-bell-slash:before {
	content: "\f1f6";
	}
	.fa-bell-slash-o:before {
	content: "\f1f7";
	}
	.fa-trash:before {
	content: "\f1f8";
	}
	.fa-copyright:before {
	content: "\f1f9";
	}
	.fa-at:before {
	content: "\f1fa";
	}
	.fa-eyedropper:before {
	content: "\f1fb";
	}
	.fa-paint-brush:before {
	content: "\f1fc";
	}
	.fa-birthday-cake:before {
	content: "\f1fd";
	}
	.fa-area-chart:before {
	content: "\f1fe";
	}
	.fa-pie-chart:before {
	content: "\f200";
	}
	.fa-line-chart:before {
	content: "\f201";
	}
	.fa-lastfm:before {
	content: "\f202";
	}
	.fa-lastfm-square:before {
	content: "\f203";
	}
	.fa-toggle-off:before {
	content: "\f204";
	}
	.fa-toggle-on:before {
	content: "\f205";
	}
	.fa-bicycle:before {
	content: "\f206";
	}
	.fa-bus:before {
	content: "\f207";
	}
	.fa-ioxhost:before {
	content: "\f208";
	}
	.fa-angellist:before {
	content: "\f209";
	}
	.fa-cc:before {
	content: "\f20a";
	}
	.fa-shekel:before,
	.fa-sheqel:before,
	.fa-ils:before {
	content: "\f20b";
	}
	.fa-meanpath:before {
	content: "\f20c";
	}
	.fa-buysellads:before {
	content: "\f20d";
	}
	.fa-connectdevelop:before {
	content: "\f20e";
	}
	.fa-dashcube:before {
	content: "\f210";
	}
	.fa-forumbee:before {
	content: "\f211";
	}
	.fa-leanpub:before {
	content: "\f212";
	}
	.fa-sellsy:before {
	content: "\f213";
	}
	.fa-shirtsinbulk:before {
	content: "\f214";
	}
	.fa-simplybuilt:before {
	content: "\f215";
	}
	.fa-skyatlas:before {
	content: "\f216";
	}
	.fa-cart-plus:before {
	content: "\f217";
	}
	.fa-cart-arrow-down:before {
	content: "\f218";
	}
	.fa-diamond:before {
	content: "\f219";
	}
	.fa-ship:before {
	content: "\f21a";
	}
	.fa-user-secret:before {
	content: "\f21b";
	}
	.fa-motorcycle:before {
	content: "\f21c";
	}
	.fa-street-view:before {
	content: "\f21d";
	}
	.fa-heartbeat:before {
	content: "\f21e";
	}
	.fa-venus:before {
	content: "\f221";
	}
	.fa-mars:before {
	content: "\f222";
	}
	.fa-mercury:before {
	content: "\f223";
	}
	.fa-intersex:before,
	.fa-transgender:before {
	content: "\f224";
	}
	.fa-transgender-alt:before {
	content: "\f225";
	}
	.fa-venus-double:before {
	content: "\f226";
	}
	.fa-mars-double:before {
	content: "\f227";
	}
	.fa-venus-mars:before {
	content: "\f228";
	}
	.fa-mars-stroke:before {
	content: "\f229";
	}
	.fa-mars-stroke-v:before {
	content: "\f22a";
	}
	.fa-mars-stroke-h:before {
	content: "\f22b";
	}
	.fa-neuter:before {
	content: "\f22c";
	}
	.fa-genderless:before {
	content: "\f22d";
	}
	.fa-facebook-official:before {
	content: "\f230";
	}
	.fa-pinterest-p:before {
	content: "\f231";
	}
	.fa-whatsapp:before {
	content: "\f232";
	}
	.fa-server:before {
	content: "\f233";
	}
	.fa-user-plus:before {
	content: "\f234";
	}
	.fa-user-times:before {
	content: "\f235";
	}
	.fa-hotel:before,
	.fa-bed:before {
	content: "\f236";
	}
	.fa-viacoin:before {
	content: "\f237";
	}
	.fa-train:before {
	content: "\f238";
	}
	.fa-subway:before {
	content: "\f239";
	}
	.fa-medium:before {
	content: "\f23a";
	}
	.fa-yc:before,
	.fa-y-combinator:before {
	content: "\f23b";
	}
	.fa-optin-monster:before {
	content: "\f23c";
	}
	.fa-opencart:before {
	content: "\f23d";
	}
	.fa-expeditedssl:before {
	content: "\f23e";
	}
	.fa-battery-4:before,
	.fa-battery:before,
	.fa-battery-full:before {
	content: "\f240";
	}
	.fa-battery-3:before,
	.fa-battery-three-quarters:before {
	content: "\f241";
	}
	.fa-battery-2:before,
	.fa-battery-half:before {
	content: "\f242";
	}
	.fa-battery-1:before,
	.fa-battery-quarter:before {
	content: "\f243";
	}
	.fa-battery-0:before,
	.fa-battery-empty:before {
	content: "\f244";
	}
	.fa-mouse-pointer:before {
	content: "\f245";
	}
	.fa-i-cursor:before {
	content: "\f246";
	}
	.fa-object-group:before {
	content: "\f247";
	}
	.fa-object-ungroup:before {
	content: "\f248";
	}
	.fa-sticky-note:before {
	content: "\f249";
	}
	.fa-sticky-note-o:before {
	content: "\f24a";
	}
	.fa-cc-jcb:before {
	content: "\f24b";
	}
	.fa-cc-diners-club:before {
	content: "\f24c";
	}
	.fa-clone:before {
	content: "\f24d";
	}
	.fa-balance-scale:before {
	content: "\f24e";
	}
	.fa-hourglass-o:before {
	content: "\f250";
	}
	.fa-hourglass-1:before,
	.fa-hourglass-start:before {
	content: "\f251";
	}
	.fa-hourglass-2:before,
	.fa-hourglass-half:before {
	content: "\f252";
	}
	.fa-hourglass-3:before,
	.fa-hourglass-end:before {
	content: "\f253";
	}
	.fa-hourglass:before {
	content: "\f254";
	}
	.fa-hand-grab-o:before,
	.fa-hand-rock-o:before {
	content: "\f255";
	}
	.fa-hand-stop-o:before,
	.fa-hand-paper-o:before {
	content: "\f256";
	}
	.fa-hand-scissors-o:before {
	content: "\f257";
	}
	.fa-hand-lizard-o:before {
	content: "\f258";
	}
	.fa-hand-spock-o:before {
	content: "\f259";
	}
	.fa-hand-pointer-o:before {
	content: "\f25a";
	}
	.fa-hand-peace-o:before {
	content: "\f25b";
	}
	.fa-trademark:before {
	content: "\f25c";
	}
	.fa-registered:before {
	content: "\f25d";
	}
	.fa-creative-commons:before {
	content: "\f25e";
	}
	.fa-gg:before {
	content: "\f260";
	}
	.fa-gg-circle:before {
	content: "\f261";
	}
	.fa-tripadvisor:before {
	content: "\f262";
	}
	.fa-odnoklassniki:before {
	content: "\f263";
	}
	.fa-odnoklassniki-square:before {
	content: "\f264";
	}
	.fa-get-pocket:before {
	content: "\f265";
	}
	.fa-wikipedia-w:before {
	content: "\f266";
	}
	.fa-safari:before {
	content: "\f267";
	}
	.fa-chrome:before {
	content: "\f268";
	}
	.fa-firefox:before {
	content: "\f269";
	}
	.fa-opera:before {
	content: "\f26a";
	}
	.fa-internet-explorer:before {
	content: "\f26b";
	}
	.fa-tv:before,
	.fa-television:before {
	content: "\f26c";
	}
	.fa-contao:before {
	content: "\f26d";
	}
	.fa-500px:before {
	content: "\f26e";
	}
	.fa-amazon:before {
	content: "\f270";
	}
	.fa-calendar-plus-o:before {
	content: "\f271";
	}
	.fa-calendar-minus-o:before {
	content: "\f272";
	}
	.fa-calendar-times-o:before {
	content: "\f273";
	}
	.fa-calendar-check-o:before {
	content: "\f274";
	}
	.fa-industry:before {
	content: "\f275";
	}
	.fa-map-pin:before {
	content: "\f276";
	}
	.fa-map-signs:before {
	content: "\f277";
	}
	.fa-map-o:before {
	content: "\f278";
	}
	.fa-map:before {
	content: "\f279";
	}
	.fa-commenting:before {
	content: "\f27a";
	}
	.fa-commenting-o:before {
	content: "\f27b";
	}
	.fa-houzz:before {
	content: "\f27c";
	}
	.fa-vimeo:before {
	content: "\f27d";
	}
	.fa-black-tie:before {
	content: "\f27e";
	}
	.fa-fonticons:before {
	content: "\f280";
	}
	.fa-reddit-alien:before {
	content: "\f281";
	}
	.fa-edge:before {
	content: "\f282";
	}
	.fa-credit-card-alt:before {
	content: "\f283";
	}
	.fa-codiepie:before {
	content: "\f284";
	}
	.fa-modx:before {
	content: "\f285";
	}
	.fa-fort-awesome:before {
	content: "\f286";
	}
	.fa-usb:before {
	content: "\f287";
	}
	.fa-product-hunt:before {
	content: "\f288";
	}
	.fa-mixcloud:before {
	content: "\f289";
	}
	.fa-scribd:before {
	content: "\f28a";
	}
	.fa-pause-circle:before {
	content: "\f28b";
	}
	.fa-pause-circle-o:before {
	content: "\f28c";
	}
	.fa-stop-circle:before {
	content: "\f28d";
	}
	.fa-stop-circle-o:before {
	content: "\f28e";
	}
	.fa-shopping-bag:before {
	content: "\f290";
	}
	.fa-shopping-basket:before {
	content: "\f291";
	}
	.fa-hashtag:before {
	content: "\f292";
	}
	.fa-bluetooth:before {
	content: "\f293";
	}
	.fa-bluetooth-b:before {
	content: "\f294";
	}
	.fa-percent:before {
	content: "\f295";
	}
	.fa-gitlab:before {
	content: "\f296";
	}
	.fa-wpbeginner:before {
	content: "\f297";
	}
	.fa-wpforms:before {
	content: "\f298";
	}
	.fa-envira:before {
	content: "\f299";
	}
	.fa-universal-access:before {
	content: "\f29a";
	}
	.fa-wheelchair-alt:before {
	content: "\f29b";
	}
	.fa-question-circle-o:before {
	content: "\f29c";
	}
	.fa-blind:before {
	content: "\f29d";
	}
	.fa-audio-description:before {
	content: "\f29e";
	}
	.fa-volume-control-phone:before {
	content: "\f2a0";
	}
	.fa-braille:before {
	content: "\f2a1";
	}
	.fa-assistive-listening-systems:before {
	content: "\f2a2";
	}
	.fa-asl-interpreting:before,
	.fa-american-sign-language-interpreting:before {
	content: "\f2a3";
	}
	.fa-deafness:before,
	.fa-hard-of-hearing:before,
	.fa-deaf:before {
	content: "\f2a4";
	}
	.fa-glide:before {
	content: "\f2a5";
	}
	.fa-glide-g:before {
	content: "\f2a6";
	}
	.fa-signing:before,
	.fa-sign-language:before {
	content: "\f2a7";
	}
	.fa-low-vision:before {
	content: "\f2a8";
	}
	.fa-viadeo:before {
	content: "\f2a9";
	}
	.fa-viadeo-square:before {
	content: "\f2aa";
	}
	.fa-snapchat:before {
	content: "\f2ab";
	}
	.fa-snapchat-ghost:before {
	content: "\f2ac";
	}
	.fa-snapchat-square:before {
	content: "\f2ad";
	}
	.fa-pied-piper:before {
	content: "\f2ae";
	}
	.fa-first-order:before {
	content: "\f2b0";
	}
	.fa-yoast:before {
	content: "\f2b1";
	}
	.fa-themeisle:before {
	content: "\f2b2";
	}
	.fa-google-plus-circle:before,
	.fa-google-plus-official:before {
	content: "\f2b3";
	}
	.fa-fa:before,
	.fa-font-awesome:before {
	content: "\f2b4";
	}
	.fa-handshake-o:before {
	content: "\f2b5";
	}
	.fa-envelope-open:before {
	content: "\f2b6";
	}
	.fa-envelope-open-o:before {
	content: "\f2b7";
	}
	.fa-linode:before {
	content: "\f2b8";
	}
	.fa-address-book:before {
	content: "\f2b9";
	}
	.fa-address-book-o:before {
	content: "\f2ba";
	}
	.fa-vcard:before,
	.fa-address-card:before {
	content: "\f2bb";
	}
	.fa-vcard-o:before,
	.fa-address-card-o:before {
	content: "\f2bc";
	}
	.fa-user-circle:before {
	content: "\f2bd";
	}
	.fa-user-circle-o:before {
	content: "\f2be";
	}
	.fa-user-o:before {
	content: "\f2c0";
	}
	.fa-id-badge:before {
	content: "\f2c1";
	}
	.fa-drivers-license:before,
	.fa-id-card:before {
	content: "\f2c2";
	}
	.fa-drivers-license-o:before,
	.fa-id-card-o:before {
	content: "\f2c3";
	}
	.fa-quora:before {
	content: "\f2c4";
	}
	.fa-free-code-camp:before {
	content: "\f2c5";
	}
	.fa-telegram:before {
	content: "\f2c6";
	}
	.fa-thermometer-4:before,
	.fa-thermometer:before,
	.fa-thermometer-full:before {
	content: "\f2c7";
	}
	.fa-thermometer-3:before,
	.fa-thermometer-three-quarters:before {
	content: "\f2c8";
	}
	.fa-thermometer-2:before,
	.fa-thermometer-half:before {
	content: "\f2c9";
	}
	.fa-thermometer-1:before,
	.fa-thermometer-quarter:before {
	content: "\f2ca";
	}
	.fa-thermometer-0:before,
	.fa-thermometer-empty:before {
	content: "\f2cb";
	}
	.fa-shower:before {
	content: "\f2cc";
	}
	.fa-bathtub:before,
	.fa-s15:before,
	.fa-bath:before {
	content: "\f2cd";
	}
	.fa-podcast:before {
	content: "\f2ce";
	}
	.fa-window-maximize:before {
	content: "\f2d0";
	}
	.fa-window-minimize:before {
	content: "\f2d1";
	}
	.fa-window-restore:before {
	content: "\f2d2";
	}
	.fa-times-rectangle:before,
	.fa-window-close:before {
	content: "\f2d3";
	}
	.fa-times-rectangle-o:before,
	.fa-window-close-o:before {
	content: "\f2d4";
	}
	.fa-bandcamp:before {
	content: "\f2d5";
	}
	.fa-grav:before {
	content: "\f2d6";
	}
	.fa-etsy:before {
	content: "\f2d7";
	}
	.fa-imdb:before {
	content: "\f2d8";
	}
	.fa-ravelry:before {
	content: "\f2d9";
	}
	.fa-eercast:before {
	content: "\f2da";
	}
	.fa-microchip:before {
	content: "\f2db";
	}
	.fa-snowflake-o:before {
	content: "\f2dc";
	}
	.fa-superpowers:before {
	content: "\f2dd";
	}
	.fa-wpexplorer:before {
	content: "\f2de";
	}
	.fa-meetup:before {
	content: "\f2e0";
	}
	.sr-only {
	position: absolute;
	width: 1px;
	height: 1px;
	padding: 0;
	margin: -1px;
	overflow: hidden;
	clip: rect(0, 0, 0, 0);
	border: 0;
	}
	.sr-only-focusable:active,
	.sr-only-focusable:focus {
	position: static;
	width: auto;
	height: auto;
	margin: 0;
	overflow: visible;
	clip: auto;
	}
	.sr-only-focusable:active,
	.sr-only-focusable:focus {
	position: static;
	width: auto;
	height: auto;
	margin: 0;
	overflow: visible;
	clip: auto;
	}
	/*!
	*
	* IPython base
	*
	*/
	.modal.fade .modal-dialog {
	-webkit-transform: translate(0, 0);
	-ms-transform: translate(0, 0);
	-o-transform: translate(0, 0);
	transform: translate(0, 0);
	}
	code {
	color: #000;
	}
	pre {
	font-size: inherit;
	line-height: inherit;
	}
	label {
	font-weight: normal;
	}
	/* Make the page background atleast 100% the height of the view port */
	/* Make the page itself atleast 70% the height of the view port */
	.border-box-sizing {
	box-sizing: border-box;
	-moz-box-sizing: border-box;
	-webkit-box-sizing: border-box;
	}
	.corner-all {
	border-radius: 2px;
	}
	.no-padding {
	padding: 0px;
	}
	/* Flexible box model classes */
	/* Taken from Alex Russell http://infrequently.org/2009/08/css-3-progress/ */
	/* This file is a compatability layer. It allows the usage of flexible box
	model layouts accross multiple browsers, including older browsers. The newest,
	universal implementation of the flexible box model is used when available (see
	`Modern browsers` comments below). Browsers that are known to implement this
	new spec completely include:

	Firefox 28.0+
	Chrome 29.0+
	Internet Explorer 11+
	Opera 17.0+

	Browsers not listed, including Safari, are supported via the styling under the
	`Old browsers` comments below.
	*/
	.hbox {
	/* Old browsers */
	display: -webkit-box;
	-webkit-box-orient: horizontal;
	-webkit-box-align: stretch;
	display: -moz-box;
	-moz-box-orient: horizontal;
	-moz-box-align: stretch;
	display: box;
	box-orient: horizontal;
	box-align: stretch;
	/* Modern browsers */
	display: flex;
	flex-direction: row;
	align-items: stretch;
	}
	.hbox > * {
	/* Old browsers */
	-webkit-box-flex: 0;
	-moz-box-flex: 0;
	box-flex: 0;
	/* Modern browsers */
	flex: none;
	}
	.vbox {
	/* Old browsers */
	display: -webkit-box;
	-webkit-box-orient: vertical;
	-webkit-box-align: stretch;
	display: -moz-box;
	-moz-box-orient: vertical;
	-moz-box-align: stretch;
	display: box;
	box-orient: vertical;
	box-align: stretch;
	/* Modern browsers */
	display: flex;
	flex-direction: column;
	align-items: stretch;
	}
	.vbox > * {
	/* Old browsers */
	-webkit-box-flex: 0;
	-moz-box-flex: 0;
	box-flex: 0;
	/* Modern browsers */
	flex: none;
	}
	.hbox.reverse,
	.vbox.reverse,
	.reverse {
	/* Old browsers */
	-webkit-box-direction: reverse;
	-moz-box-direction: reverse;
	box-direction: reverse;
	/* Modern browsers */
	flex-direction: row-reverse;
	}
	.hbox.box-flex0,
	.vbox.box-flex0,
	.box-flex0 {
	/* Old browsers */
	-webkit-box-flex: 0;
	-moz-box-flex: 0;
	box-flex: 0;
	/* Modern browsers */
	flex: none;
	width: auto;
	}
	.hbox.box-flex1,
	.vbox.box-flex1,
	.box-flex1 {
	/* Old browsers */
	-webkit-box-flex: 1;
	-moz-box-flex: 1;
	box-flex: 1;
	/* Modern browsers */
	flex: 1;
	}
	.hbox.box-flex,
	.vbox.box-flex,
	.box-flex {
	/* Old browsers */
	/* Old browsers */
	-webkit-box-flex: 1;
	-moz-box-flex: 1;
	box-flex: 1;
	/* Modern browsers */
	flex: 1;
	}
	.hbox.box-flex2,
	.vbox.box-flex2,
	.box-flex2 {
	/* Old browsers */
	-webkit-box-flex: 2;
	-moz-box-flex: 2;
	box-flex: 2;
	/* Modern browsers */
	flex: 2;
	}
	.box-group1 {
	/* Deprecated */
	-webkit-box-flex-group: 1;
	-moz-box-flex-group: 1;
	box-flex-group: 1;
	}
	.box-group2 {
	/* Deprecated */
	-webkit-box-flex-group: 2;
	-moz-box-flex-group: 2;
	box-flex-group: 2;
	}
	.hbox.start,
	.vbox.start,
	.start {
	/* Old browsers */
	-webkit-box-pack: start;
	-moz-box-pack: start;
	box-pack: start;
	/* Modern browsers */
	justify-content: flex-start;
	}
	.hbox.end,
	.vbox.end,
	.end {
	/* Old browsers */
	-webkit-box-pack: end;
	-moz-box-pack: end;
	box-pack: end;
	/* Modern browsers */
	justify-content: flex-end;
	}
	.hbox.center,
	.vbox.center,
	.center {
	/* Old browsers */
	-webkit-box-pack: center;
	-moz-box-pack: center;
	box-pack: center;
	/* Modern browsers */
	justify-content: center;
	}
	.hbox.baseline,
	.vbox.baseline,
	.baseline {
	/* Old browsers */
	-webkit-box-pack: baseline;
	-moz-box-pack: baseline;
	box-pack: baseline;
	/* Modern browsers */
	justify-content: baseline;
	}
	.hbox.stretch,
	.vbox.stretch,
	.stretch {
	/* Old browsers */
	-webkit-box-pack: stretch;
	-moz-box-pack: stretch;
	box-pack: stretch;
	/* Modern browsers */
	justify-content: stretch;
	}
	.hbox.align-start,
	.vbox.align-start,
	.align-start {
	/* Old browsers */
	-webkit-box-align: start;
	-moz-box-align: start;
	box-align: start;
	/* Modern browsers */
	align-items: flex-start;
	}
	.hbox.align-end,
	.vbox.align-end,
	.align-end {
	/* Old browsers */
	-webkit-box-align: end;
	-moz-box-align: end;
	box-align: end;
	/* Modern browsers */
	align-items: flex-end;
	}
	.hbox.align-center,
	.vbox.align-center,
	.align-center {
	/* Old browsers */
	-webkit-box-align: center;
	-moz-box-align: center;
	box-align: center;
	/* Modern browsers */
	align-items: center;
	}
	.hbox.align-baseline,
	.vbox.align-baseline,
	.align-baseline {
	/* Old browsers */
	-webkit-box-align: baseline;
	-moz-box-align: baseline;
	box-align: baseline;
	/* Modern browsers */
	align-items: baseline;
	}
	.hbox.align-stretch,
	.vbox.align-stretch,
	.align-stretch {
	/* Old browsers */
	-webkit-box-align: stretch;
	-moz-box-align: stretch;
	box-align: stretch;
	/* Modern browsers */
	align-items: stretch;
	}
	div.error {
	margin: 2em;
	text-align: center;
	}
	div.error > h1 {
	font-size: 500%;
	line-height: normal;
	}
	div.error > p {
	font-size: 200%;
	line-height: normal;
	}
	div.traceback-wrapper {
	text-align: left;
	max-width: 800px;
	margin: auto;
	}
	div.traceback-wrapper pre.traceback {
	max-height: 600px;
	overflow: auto;
	}
	/**
	* Primary styles
	*
	* Author: Jupyter Development Team
	*/
	body {
	background-color: #fff;
	/* This makes sure that the body covers the entire window and needs to
	be in a different element than the display: box in wrapper below */
	position: absolute;
	left: 0px;
	right: 0px;
	top: 0px;
	bottom: 0px;
	overflow: visible;
	}
	body > #header {
	/* Initially hidden to prevent FLOUC */
	display: none;
	background-color: #fff;
	/* Display over codemirror */
	position: relative;
	z-index: 100;
	}
	body > #header #header-container {
	display: flex;
	flex-direction: row;
	justify-content: space-between;
	padding: 5px;
	padding-bottom: 5px;
	padding-top: 5px;
	box-sizing: border-box;
	-moz-box-sizing: border-box;
	-webkit-box-sizing: border-box;
	}
	body > #header .header-bar {
	width: 100%;
	height: 1px;
	background: #e7e7e7;
	margin-bottom: -1px;
	}
	@media print {
	body > #header {
	display: none !important;
	}
	}
	#header-spacer {
	width: 100%;
	visibility: hidden;
	}
	@media print {
	#header-spacer {
	display: none;
	}
	}
	#ipython_notebook {
	padding-left: 0px;
	padding-top: 1px;
	padding-bottom: 1px;
	}
	[dir="rtl"] #ipython_notebook {
	margin-right: 10px;
	margin-left: 0;
	}
	[dir="rtl"] #ipython_notebook.pull-left {
	float: right !important;
	float: right;
	}
	.flex-spacer {
	flex: 1;
	}
	#noscript {
	width: auto;
	padding-top: 16px;
	padding-bottom: 16px;
	text-align: center;
	font-size: 22px;
	color: red;
	font-weight: bold;
	}
	#ipython_notebook img {
	height: 28px;
	}
	#site {
	width: 100%;
	display: none;
	box-sizing: border-box;
	-moz-box-sizing: border-box;
	-webkit-box-sizing: border-box;
	overflow: auto;
	}
	@media print {
	#site {
	height: auto !important;
	}
	}
	/* Smaller buttons */
	.ui-button .ui-button-text {
	padding: 0.2em 0.8em;
	font-size: 77%;
	}
	input.ui-button {
	padding: 0.3em 0.9em;
	}
	span#kernel_logo_widget {
	margin: 0 10px;
	}
	span#login_widget {
	float: right;
	}
	[dir="rtl"] span#login_widget {
	float: left;
	}
	span#login_widget > .button,
	#logout {
	color: #333;
	background-color: #fff;
	border-color: #ccc;
	}
	span#login_widget > .button:focus,
	#logout:focus,
	span#login_widget > .button.focus,
	#logout.focus {
	color: #333;
	background-color: #e6e6e6;
	border-color: #8c8c8c;
	}
	span#login_widget > .button:hover,
	#logout:hover {
	color: #333;
	background-color: #e6e6e6;
	border-color: #adadad;
	}
	span#login_widget > .button:active,
	#logout:active,
	span#login_widget > .button.active,
	#logout.active,
	.open > .dropdown-togglespan#login_widget > .button,
	.open > .dropdown-toggle#logout {
	color: #333;
	background-color: #e6e6e6;
	border-color: #adadad;
	}
	span#login_widget > .button:active:hover,
	#logout:active:hover,
	span#login_widget > .button.active:hover,
	#logout.active:hover,
	.open > .dropdown-togglespan#login_widget > .button:hover,
	.open > .dropdown-toggle#logout:hover,
	span#login_widget > .button:active:focus,
	#logout:active:focus,
	span#login_widget > .button.active:focus,
	#logout.active:focus,
	.open > .dropdown-togglespan#login_widget > .button:focus,
	.open > .dropdown-toggle#logout:focus,
	span#login_widget > .button:active.focus,
	#logout:active.focus,
	span#login_widget > .button.active.focus,
	#logout.active.focus,
	.open > .dropdown-togglespan#login_widget > .button.focus,
	.open > .dropdown-toggle#logout.focus {
	color: #333;
	background-color: #d4d4d4;
	border-color: #8c8c8c;
	}
	span#login_widget > .button:active,
	#logout:active,
	span#login_widget > .button.active,
	#logout.active,
	.open > .dropdown-togglespan#login_widget > .button,
	.open > .dropdown-toggle#logout {
	background-image: none;
	}
	span#login_widget > .button.disabled:hover,
	#logout.disabled:hover,
	span#login_widget > .button[disabled]:hover,
	#logout[disabled]:hover,
	fieldset[disabled] span#login_widget > .button:hover,
	fieldset[disabled] #logout:hover,
	span#login_widget > .button.disabled:focus,
	#logout.disabled:focus,
	span#login_widget > .button[disabled]:focus,
	#logout[disabled]:focus,
	fieldset[disabled] span#login_widget > .button:focus,
	fieldset[disabled] #logout:focus,
	span#login_widget > .button.disabled.focus,
	#logout.disabled.focus,
	span#login_widget > .button[disabled].focus,
	#logout[disabled].focus,
	fieldset[disabled] span#login_widget > .button.focus,
	fieldset[disabled] #logout.focus {
	background-color: #fff;
	border-color: #ccc;
	}
	span#login_widget > .button .badge,
	#logout .badge {
	color: #fff;
	background-color: #333;
	}
	.nav-header {
	text-transform: none;
	}
	#header > span {
	margin-top: 10px;
	}
	.modal_stretch .modal-dialog {
	/* Old browsers */
	display: -webkit-box;
	-webkit-box-orient: vertical;
	-webkit-box-align: stretch;
	display: -moz-box;
	-moz-box-orient: vertical;
	-moz-box-align: stretch;
	display: box;
	box-orient: vertical;
	box-align: stretch;
	/* Modern browsers */
	display: flex;
	flex-direction: column;
	align-items: stretch;
	min-height: 80vh;
	}
	.modal_stretch .modal-dialog .modal-body {
	max-height: calc(100vh - 200px);
	overflow: auto;
	flex: 1;
	}
	.modal-header {
	cursor: move;
	}
	@media (min-width: 768px) {
	.modal .modal-dialog {
	width: 700px;
	}
	}
	@media (min-width: 768px) {
	select.form-control {
	margin-left: 12px;
	margin-right: 12px;
	}
	}
	/*!
	*
	* IPython auth
	*
	*/
	.center-nav {
	display: inline-block;
	margin-bottom: -4px;
	}
	[dir="rtl"] .center-nav form.pull-left {
	float: right !important;
	float: right;
	}
	[dir="rtl"] .center-nav .navbar-text {
	float: right;
	}
	[dir="rtl"] .navbar-inner {
	text-align: right;
	}
	[dir="rtl"] div.text-left {
	text-align: right;
	}
	/*!
	*
	* IPython tree view
	*
	*/
	/* We need an invisible input field on top of the sentense*/
	/* "Drag file onto the list ..." */
	.alternate_upload {
	background-color: none;
	display: inline;
	}
	.alternate_upload.form {
	padding: 0;
	margin: 0;
	}
	.alternate_upload input.fileinput {
	position: absolute;
	display: block;
	width: 100%;
	height: 100%;
	overflow: hidden;
	cursor: pointer;
	opacity: 0;
	z-index: 2;
	}
	.alternate_upload .btn-xs > input.fileinput {
	margin: -1px -5px;
	}
	.alternate_upload .btn-upload {
	position: relative;
	height: 22px;
	}
	::-webkit-file-upload-button {
	cursor: pointer;
	}
	/**
	* Primary styles
	*
	* Author: Jupyter Development Team
	*/
	ul#tabs {
	margin-bottom: 4px;
	}
	ul#tabs a {
	padding-top: 6px;
	padding-bottom: 4px;
	}
	[dir="rtl"] ul#tabs.nav-tabs > li {
	float: right;
	}
	[dir="rtl"] ul#tabs.nav.nav-tabs {
	padding-right: 0;
	}
	ul.breadcrumb a:focus,
	ul.breadcrumb a:hover {
	text-decoration: none;
	}
	ul.breadcrumb i.icon-home {
	font-size: 16px;
	margin-right: 4px;
	}
	ul.breadcrumb span {
	color: #5e5e5e;
	}
	.list_toolbar {
	padding: 4px 0 4px 0;
	vertical-align: middle;
	}
	.list_toolbar .tree-buttons {
	padding-top: 1px;
	}
	[dir="rtl"] .list_toolbar .tree-buttons .pull-right {
	float: left !important;
	float: left;
	}
	[dir="rtl"] .list_toolbar .col-sm-4,
	[dir="rtl"] .list_toolbar .col-sm-8 {
	float: right;
	}
	.dynamic-buttons {
	padding-top: 3px;
	display: inline-block;
	}
	.list_toolbar [class*="span"] {
	min-height: 24px;
	}
	.list_header {
	font-weight: bold;
	background-color: #EEE;
	}
	.list_placeholder {
	font-weight: bold;
	padding-top: 4px;
	padding-bottom: 4px;
	padding-left: 7px;
	padding-right: 7px;
	}
	.list_container {
	margin-top: 4px;
	margin-bottom: 20px;
	border: 1px solid #ddd;
	border-radius: 2px;
	}
	.list_container > div {
	border-bottom: 1px solid #ddd;
	}
	.list_container > div:hover .list-item {
	background-color: red;
	}
	.list_container > div:last-child {
	border: none;
	}
	.list_item:hover .list_item {
	background-color: #ddd;
	}
	.list_item a {
	text-decoration: none;
	}
	.list_item:hover {
	background-color: #fafafa;
	}
	.list_header > div,
	.list_item > div {
	padding-top: 4px;
	padding-bottom: 4px;
	padding-left: 7px;
	padding-right: 7px;
	line-height: 22px;
	}
	.list_header > div input,
	.list_item > div input {
	margin-right: 7px;
	margin-left: 14px;
	vertical-align: text-bottom;
	line-height: 22px;
	position: relative;
	top: -1px;
	}
	.list_header > div .item_link,
	.list_item > div .item_link {
	margin-left: -1px;
	vertical-align: baseline;
	line-height: 22px;
	}
	[dir="rtl"] .list_item > div input {
	margin-right: 0;
	}
	.new-file input[type=checkbox] {
	visibility: hidden;
	}
	.item_name {
	line-height: 22px;
	height: 24px;
	}
	.item_icon {
	font-size: 14px;
	color: #5e5e5e;
	margin-right: 7px;
	margin-left: 7px;
	line-height: 22px;
	vertical-align: baseline;
	}
	.item_modified {
	margin-right: 7px;
	margin-left: 7px;
	}
	[dir="rtl"] .item_modified.pull-right {
	float: left !important;
	float: left;
	}
	.item_buttons {
	line-height: 1em;
	margin-left: -5px;
	}
	.item_buttons .btn,
	.item_buttons .btn-group,
	.item_buttons .input-group {
	float: left;
	}
	.item_buttons > .btn,
	.item_buttons > .btn-group,
	.item_buttons > .input-group {
	margin-left: 5px;
	}
	.item_buttons .btn {
	min-width: 13ex;
	}
	.item_buttons .running-indicator {
	padding-top: 4px;
	color: #5cb85c;
	}
	.item_buttons .kernel-name {
	padding-top: 4px;
	color: #5bc0de;
	margin-right: 7px;
	float: left;
	}
	[dir="rtl"] .item_buttons.pull-right {
	float: left !important;
	float: left;
	}
	[dir="rtl"] .item_buttons .kernel-name {
	margin-left: 7px;
	float: right;
	}
	.toolbar_info {
	height: 24px;
	line-height: 24px;
	}
	.list_item input:not([type=checkbox]) {
	padding-top: 3px;
	padding-bottom: 3px;
	height: 22px;
	line-height: 14px;
	margin: 0px;
	}
	.highlight_text {
	color: blue;
	}
	#project_name {
	display: inline-block;
	padding-left: 7px;
	margin-left: -2px;
	}
	#project_name > .breadcrumb {
	padding: 0px;
	margin-bottom: 0px;
	background-color: transparent;
	font-weight: bold;
	}
	.sort_button {
	display: inline-block;
	padding-left: 7px;
	}
	[dir="rtl"] .sort_button.pull-right {
	float: left !important;
	float: left;
	}
	#tree-selector {
	padding-right: 0px;
	}
	#button-select-all {
	min-width: 50px;
	}
	[dir="rtl"] #button-select-all.btn {
	float: right ;
	}
	#select-all {
	margin-left: 7px;
	margin-right: 2px;
	margin-top: 2px;
	height: 16px;
	}
	[dir="rtl"] #select-all.pull-left {
	float: right !important;
	float: right;
	}
	.menu_icon {
	margin-right: 2px;
	}
	.tab-content .row {
	margin-left: 0px;
	margin-right: 0px;
	}
	.folder_icon:before {
	display: inline-block;
	font: normal normal normal 14px/1 FontAwesome;
	font-size: inherit;
	text-rendering: auto;
	-webkit-font-smoothing: antialiased;
	-moz-osx-font-smoothing: grayscale;
	content: "\f114";
	}
	.folder_icon:before.fa-pull-left {
	margin-right: .3em;
	}
	.folder_icon:before.fa-pull-right {
	margin-left: .3em;
	}
	.folder_icon:before.pull-left {
	margin-right: .3em;
	}
	.folder_icon:before.pull-right {
	margin-left: .3em;
	}
	.notebook_icon:before {
	display: inline-block;
	font: normal normal normal 14px/1 FontAwesome;
	font-size: inherit;
	text-rendering: auto;
	-webkit-font-smoothing: antialiased;
	-moz-osx-font-smoothing: grayscale;
	content: "\f02d";
	position: relative;
	top: -1px;
	}
	.notebook_icon:before.fa-pull-left {
	margin-right: .3em;
	}
	.notebook_icon:before.fa-pull-right {
	margin-left: .3em;
	}
	.notebook_icon:before.pull-left {
	margin-right: .3em;
	}
	.notebook_icon:before.pull-right {
	margin-left: .3em;
	}
	.running_notebook_icon:before {
	display: inline-block;
	font: normal normal normal 14px/1 FontAwesome;
	font-size: inherit;
	text-rendering: auto;
	-webkit-font-smoothing: antialiased;
	-moz-osx-font-smoothing: grayscale;
	content: "\f02d";
	position: relative;
	top: -1px;
	color: #5cb85c;
	}
	.running_notebook_icon:before.fa-pull-left {
	margin-right: .3em;
	}
	.running_notebook_icon:before.fa-pull-right {
	margin-left: .3em;
	}
	.running_notebook_icon:before.pull-left {
	margin-right: .3em;
	}
	.running_notebook_icon:before.pull-right {
	margin-left: .3em;
	}
	.file_icon:before {
	display: inline-block;
	font: normal normal normal 14px/1 FontAwesome;
	font-size: inherit;
	text-rendering: auto;
	-webkit-font-smoothing: antialiased;
	-moz-osx-font-smoothing: grayscale;
	content: "\f016";
	position: relative;
	top: -2px;
	}
	.file_icon:before.fa-pull-left {
	margin-right: .3em;
	}
	.file_icon:before.fa-pull-right {
	margin-left: .3em;
	}
	.file_icon:before.pull-left {
	margin-right: .3em;
	}
	.file_icon:before.pull-right {
	margin-left: .3em;
	}
	#notebook_toolbar .pull-right {
	padding-top: 0px;
	margin-right: -1px;
	}
	ul#new-menu {
	left: auto;
	right: 0;
	}
	#new-menu .dropdown-header {
	font-size: 10px;
	border-bottom: 1px solid #e5e5e5;
	padding: 0 0 3px;
	margin: -3px 20px 0;
	}
	.kernel-menu-icon {
	padding-right: 12px;
	width: 24px;
	content: "\f096";
	}
	.kernel-menu-icon:before {
	content: "\f096";
	}
	.kernel-menu-icon-current:before {
	content: "\f00c";
	}
	#tab_content {
	padding-top: 20px;
	}
	#running .panel-group .panel {
	margin-top: 3px;
	margin-bottom: 1em;
	}
	#running .panel-group .panel .panel-heading {
	background-color: #EEE;
	padding-top: 4px;
	padding-bottom: 4px;
	padding-left: 7px;
	padding-right: 7px;
	line-height: 22px;
	}
	#running .panel-group .panel .panel-heading a:focus,
	#running .panel-group .panel .panel-heading a:hover {
	text-decoration: none;
	}
	#running .panel-group .panel .panel-body {
	padding: 0px;
	}
	#running .panel-group .panel .panel-body .list_container {
	margin-top: 0px;
	margin-bottom: 0px;
	border: 0px;
	border-radius: 0px;
	}
	#running .panel-group .panel .panel-body .list_container .list_item {
	border-bottom: 1px solid #ddd;
	}
	#running .panel-group .panel .panel-body .list_container .list_item:last-child {
	border-bottom: 0px;
	}
	.delete-button {
	display: none;
	}
	.duplicate-button {
	display: none;
	}
	.rename-button {
	display: none;
	}
	.move-button {
	display: none;
	}
	.download-button {
	display: none;
	}
	.shutdown-button {
	display: none;
	}
	.dynamic-instructions {
	display: inline-block;
	padding-top: 4px;
	}
	/*!
	*
	* IPython text editor webapp
	*
	*/
	.selected-keymap i.fa {
	padding: 0px 5px;
	}
	.selected-keymap i.fa:before {
	content: "\f00c";
	}
	#mode-menu {
	overflow: auto;
	max-height: 20em;
	}
	.edit_app #header {
	-webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
	box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
	}
	.edit_app #menubar .navbar {
	/* Use a negative 1 bottom margin, so the border overlaps the border of the
	header */
	margin-bottom: -1px;
	}
	.dirty-indicator {
	display: inline-block;
	font: normal normal normal 14px/1 FontAwesome;
	font-size: inherit;
	text-rendering: auto;
	-webkit-font-smoothing: antialiased;
	-moz-osx-font-smoothing: grayscale;
	width: 20px;
	}
	.dirty-indicator.fa-pull-left {
	margin-right: .3em;
	}
	.dirty-indicator.fa-pull-right {
	margin-left: .3em;
	}
	.dirty-indicator.pull-left {
	margin-right: .3em;
	}
	.dirty-indicator.pull-right {
	margin-left: .3em;
	}
	.dirty-indicator-dirty {
	display: inline-block;
	font: normal normal normal 14px/1 FontAwesome;
	font-size: inherit;
	text-rendering: auto;
	-webkit-font-smoothing: antialiased;
	-moz-osx-font-smoothing: grayscale;
	width: 20px;
	}
	.dirty-indicator-dirty.fa-pull-left {
	margin-right: .3em;
	}
	.dirty-indicator-dirty.fa-pull-right {
	margin-left: .3em;
	}
	.dirty-indicator-dirty.pull-left {
	margin-right: .3em;
	}
	.dirty-indicator-dirty.pull-right {
	margin-left: .3em;
	}
	.dirty-indicator-clean {
	display: inline-block;
	font: normal normal normal 14px/1 FontAwesome;
	font-size: inherit;
	text-rendering: auto;
	-webkit-font-smoothing: antialiased;
	-moz-osx-font-smoothing: grayscale;
	width: 20px;
	}
	.dirty-indicator-clean.fa-pull-left {
	margin-right: .3em;
	}
	.dirty-indicator-clean.fa-pull-right {
	margin-left: .3em;
	}
	.dirty-indicator-clean.pull-left {
	margin-right: .3em;
	}
	.dirty-indicator-clean.pull-right {
	margin-left: .3em;
	}
	.dirty-indicator-clean:before {
	display: inline-block;
	font: normal normal normal 14px/1 FontAwesome;
	font-size: inherit;
	text-rendering: auto;
	-webkit-font-smoothing: antialiased;
	-moz-osx-font-smoothing: grayscale;
	content: "\f00c";
	}
	.dirty-indicator-clean:before.fa-pull-left {
	margin-right: .3em;
	}
	.dirty-indicator-clean:before.fa-pull-right {
	margin-left: .3em;
	}
	.dirty-indicator-clean:before.pull-left {
	margin-right: .3em;
	}
	.dirty-indicator-clean:before.pull-right {
	margin-left: .3em;
	}
	#filename {
	font-size: 16pt;
	display: table;
	padding: 0px 5px;
	}
	#current-mode {
	padding-left: 5px;
	padding-right: 5px;
	}
	#texteditor-backdrop {
	padding-top: 20px;
	padding-bottom: 20px;
	}
	@media not print {
	#texteditor-backdrop {
	background-color: #EEE;
	}
	}
	@media print {
	#texteditor-backdrop #texteditor-container .CodeMirror-gutter,
	#texteditor-backdrop #texteditor-container .CodeMirror-gutters {
	background-color: #fff;
	}
	}
	@media not print {
	#texteditor-backdrop #texteditor-container .CodeMirror-gutter,
	#texteditor-backdrop #texteditor-container .CodeMirror-gutters {
	background-color: #fff;
	}
	}
	@media not print {
	#texteditor-backdrop #texteditor-container {
	padding: 0px;
	background-color: #fff;
	-webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
	box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
	}
	}
	.CodeMirror-dialog {
	background-color: #fff;
	}
	/*!
	*
	* IPython notebook
	*
	*/
	/* CSS font colors for translated ANSI escape sequences */
	/* The color values are a mix of
	http://www.xcolors.net/dl/baskerville-ivorylight and
	http://www.xcolors.net/dl/euphrasia */
	.ansi-black-fg {
	color: #3E424D;
	}
	.ansi-black-bg {
	background-color: #3E424D;
	}
	.ansi-black-intense-fg {
	color: #282C36;
	}
	.ansi-black-intense-bg {
	background-color: #282C36;
	}
	.ansi-red-fg {
	color: #E75C58;
	}
	.ansi-red-bg {
	background-color: #E75C58;
	}
	.ansi-red-intense-fg {
	color: #B22B31;
	}
	.ansi-red-intense-bg {
	background-color: #B22B31;
	}
	.ansi-green-fg {
	color: #00A250;
	}
	.ansi-green-bg {
	background-color: #00A250;
	}
	.ansi-green-intense-fg {
	color: #007427;
	}
	.ansi-green-intense-bg {
	background-color: #007427;
	}
	.ansi-yellow-fg {
	color: #DDB62B;
	}
	.ansi-yellow-bg {
	background-color: #DDB62B;
	}
	.ansi-yellow-intense-fg {
	color: #B27D12;
	}
	.ansi-yellow-intense-bg {
	background-color: #B27D12;
	}
	.ansi-blue-fg {
	color: #208FFB;
	}
	.ansi-blue-bg {
	background-color: #208FFB;
	}
	.ansi-blue-intense-fg {
	color: #0065CA;
	}
	.ansi-blue-intense-bg {
	background-color: #0065CA;
	}
	.ansi-magenta-fg {
	color: #D160C4;
	}
	.ansi-magenta-bg {
	background-color: #D160C4;
	}
	.ansi-magenta-intense-fg {
	color: #A03196;
	}
	.ansi-magenta-intense-bg {
	background-color: #A03196;
	}
	.ansi-cyan-fg {
	color: #60C6C8;
	}
	.ansi-cyan-bg {
	background-color: #60C6C8;
	}
	.ansi-cyan-intense-fg {
	color: #258F8F;
	}
	.ansi-cyan-intense-bg {
	background-color: #258F8F;
	}
	.ansi-white-fg {
	color: #C5C1B4;
	}
	.ansi-white-bg {
	background-color: #C5C1B4;
	}
	.ansi-white-intense-fg {
	color: #A1A6B2;
	}
	.ansi-white-intense-bg {
	background-color: #A1A6B2;
	}
	.ansi-default-inverse-fg {
	color: #FFFFFF;
	}
	.ansi-default-inverse-bg {
	background-color: #000000;
	}
	.ansi-bold {
	font-weight: bold;
	}
	.ansi-underline {
	text-decoration: underline;
	}
	/* The following styles are deprecated an will be removed in a future version */
	.ansibold {
	font-weight: bold;
	}
	.ansi-inverse {
	outline: 0.5px dotted;
	}
	/* use dark versions for foreground, to improve visibility */
	.ansiblack {
	color: black;
	}
	.ansired {
	color: darkred;
	}
	.ansigreen {
	color: darkgreen;
	}
	.ansiyellow {
	color: #c4a000;
	}
	.ansiblue {
	color: darkblue;
	}
	.ansipurple {
	color: darkviolet;
	}
	.ansicyan {
	color: steelblue;
	}
	.ansigray {
	color: gray;
	}
	/* and light for background, for the same reason */
	.ansibgblack {
	background-color: black;
	}
	.ansibgred {
	background-color: red;
	}
	.ansibggreen {
	background-color: green;
	}
	.ansibgyellow {
	background-color: yellow;
	}
	.ansibgblue {
	background-color: blue;
	}
	.ansibgpurple {
	background-color: magenta;
	}
	.ansibgcyan {
	background-color: cyan;
	}
	.ansibggray {
	background-color: gray;
	}
	div.cell {
	/* Old browsers */
	display: -webkit-box;
	-webkit-box-orient: vertical;
	-webkit-box-align: stretch;
	display: -moz-box;
	-moz-box-orient: vertical;
	-moz-box-align: stretch;
	display: box;
	box-orient: vertical;
	box-align: stretch;
	/* Modern browsers */
	display: flex;
	flex-direction: column;
	align-items: stretch;
	border-radius: 2px;
	box-sizing: border-box;
	-moz-box-sizing: border-box;
	-webkit-box-sizing: border-box;
	border-width: 1px;
	border-style: solid;
	border-color: transparent;
	width: 100%;
	padding: 5px;
	/* This acts as a spacer between cells, that is outside the border */
	margin: 0px;
	outline: none;
	position: relative;
	overflow: visible;
	}
	div.cell:before {
	position: absolute;
	display: block;
	top: -1px;
	left: -1px;
	width: 5px;
	height: calc(100% + 2px);
	content: '';
	background: transparent;
	}
	div.cell.jupyter-soft-selected {
	border-left-color: #E3F2FD;
	border-left-width: 1px;
	padding-left: 5px;
	border-right-color: #E3F2FD;
	border-right-width: 1px;
	background: #E3F2FD;
	}
	@media print {
	div.cell.jupyter-soft-selected {
	border-color: transparent;
	}
	}
	div.cell.selected,
	div.cell.selected.jupyter-soft-selected {
	border-color: #ababab;
	}
	div.cell.selected:before,
	div.cell.selected.jupyter-soft-selected:before {
	position: absolute;
	display: block;
	top: -1px;
	left: -1px;
	width: 5px;
	height: calc(100% + 2px);
	content: '';
	background: #42A5F5;
	}
	@media print {
	div.cell.selected,
	div.cell.selected.jupyter-soft-selected {
	border-color: transparent;
	}
	}
	.edit_mode div.cell.selected {
	border-color: #66BB6A;
	}
	.edit_mode div.cell.selected:before {
	position: absolute;
	display: block;
	top: -1px;
	left: -1px;
	width: 5px;
	height: calc(100% + 2px);
	content: '';
	background: #66BB6A;
	}
	@media print {
	.edit_mode div.cell.selected {
	border-color: transparent;
	}
	}
	.prompt {
	/* This needs to be wide enough for 3 digit prompt numbers: In[100]: */
	min-width: 14ex;
	/* This padding is tuned to match the padding on the CodeMirror editor. */
	padding: 0.4em;
	margin: 0px;
	font-family: monospace;
	text-align: right;
	/* This has to match that of the the CodeMirror class line-height below */
	line-height: 1.21429em;
	/* Don't highlight prompt number selection */
	-webkit-touch-callout: none;
	-webkit-user-select: none;
	-khtml-user-select: none;
	-moz-user-select: none;
	-ms-user-select: none;
	user-select: none;
	/* Use default cursor */
	cursor: default;
	}
	@media (max-width: 540px) {
	.prompt {
	text-align: left;
	}
	}
	div.inner_cell {
	min-width: 0;
	/* Old browsers */
	display: -webkit-box;
	-webkit-box-orient: vertical;
	-webkit-box-align: stretch;
	display: -moz-box;
	-moz-box-orient: vertical;
	-moz-box-align: stretch;
	display: box;
	box-orient: vertical;
	box-align: stretch;
	/* Modern browsers */
	display: flex;
	flex-direction: column;
	align-items: stretch;
	/* Old browsers */
	-webkit-box-flex: 1;
	-moz-box-flex: 1;
	box-flex: 1;
	/* Modern browsers */
	flex: 1;
	}
	/* input_area and input_prompt must match in top border and margin for alignment */
	div.input_area {
	border: 1px solid #cfcfcf;
	border-radius: 2px;
	background: #f7f7f7;
	line-height: 1.21429em;
	}
	/* This is needed so that empty prompt areas can collapse to zero height when there
	is no content in the output_subarea and the prompt. The main purpose of this is
	to make sure that empty JavaScript output_subareas have no height. */
	div.prompt:empty {
	padding-top: 0;
	padding-bottom: 0;
	}
	div.unrecognized_cell {
	padding: 5px 5px 5px 0px;
	/* Old browsers */
	display: -webkit-box;
	-webkit-box-orient: horizontal;
	-webkit-box-align: stretch;
	display: -moz-box;
	-moz-box-orient: horizontal;
	-moz-box-align: stretch;
	display: box;
	box-orient: horizontal;
	box-align: stretch;
	/* Modern browsers */
	display: flex;
	flex-direction: row;
	align-items: stretch;
	}
	div.unrecognized_cell .inner_cell {
	border-radius: 2px;
	padding: 5px;
	font-weight: bold;
	color: red;
	border: 1px solid #cfcfcf;
	background: #eaeaea;
	}
	div.unrecognized_cell .inner_cell a {
	color: inherit;
	text-decoration: none;
	}
	div.unrecognized_cell .inner_cell a:hover {
	color: inherit;
	text-decoration: none;
	}
	@media (max-width: 540px) {
	div.unrecognized_cell > div.prompt {
	display: none;
	}
	}
	div.code_cell {
	/* avoid page breaking on code cells when printing */
	}
	@media print {
	div.code_cell {
	page-break-inside: avoid;
	}
	}
	/* any special styling for code cells that are currently running goes here */
	div.input {
	page-break-inside: avoid;
	/* Old browsers */
	display: -webkit-box;
	-webkit-box-orient: horizontal;
	-webkit-box-align: stretch;
	display: -moz-box;
	-moz-box-orient: horizontal;
	-moz-box-align: stretch;
	display: box;
	box-orient: horizontal;
	box-align: stretch;
	/* Modern browsers */
	display: flex;
	flex-direction: row;
	align-items: stretch;
	}
	@media (max-width: 540px) {
	div.input {
	/* Old browsers */
	display: -webkit-box;
	-webkit-box-orient: vertical;
	-webkit-box-align: stretch;
	display: -moz-box;
	-moz-box-orient: vertical;
	-moz-box-align: stretch;
	display: box;
	box-orient: vertical;
	box-align: stretch;
	/* Modern browsers */
	display: flex;
	flex-direction: column;
	align-items: stretch;
	}
	}
	/* input_area and input_prompt must match in top border and margin for alignment */
	div.input_prompt {
	color: #303F9F;
	border-top: 1px solid transparent;
	}
	div.input_area > div.highlight {
	margin: 0.4em;
	border: none;
	padding: 0px;
	background-color: transparent;
	}
	div.input_area > div.highlight > pre {
	margin: 0px;
	border: none;
	padding: 0px;
	background-color: transparent;
	}
	/* The following gets added to the <head> if it is detected that the user has a
	* monospace font with inconsistent normal/bold/italic height. See
	* notebookmain.js. Such fonts will have keywords vertically offset with
	* respect to the rest of the text. The user should select a better font.
	* See: https://github.com/ipython/ipython/issues/1503
	*
	* .CodeMirror span {
	* vertical-align: bottom;
	* }
	*/
	.CodeMirror {
	line-height: 1.21429em;
	/* Changed from 1em to our global default */
	font-size: 14px;
	height: auto;
	/* Changed to auto to autogrow */
	background: none;
	/* Changed from white to allow our bg to show through */
	}
	.CodeMirror-scroll {
	/* The CodeMirror docs are a bit fuzzy on if overflow-y should be hidden or visible.*/
	/* We have found that if it is visible, vertical scrollbars appear with font size changes.*/
	overflow-y: hidden;
	overflow-x: auto;
	}
	.CodeMirror-lines {
	/* In CM2, this used to be 0.4em, but in CM3 it went to 4px. We need the em value because */
	/* we have set a different line-height and want this to scale with that. */
	/* Note that this should set vertical padding only, since CodeMirror assumes
	that horizontal padding will be set on CodeMirror pre */
	padding: 0.4em 0;
	}
	.CodeMirror-linenumber {
	padding: 0 8px 0 4px;
	}
	.CodeMirror-gutters {
	border-bottom-left-radius: 2px;
	border-top-left-radius: 2px;
	}
	.CodeMirror pre {
	/* In CM3 this went to 4px from 0 in CM2. This sets horizontal padding only,
	use .CodeMirror-lines for vertical */
	padding: 0 0.4em;
	border: 0;
	border-radius: 0;
	}
	.CodeMirror-cursor {
	border-left: 1.4px solid black;
	}
	@media screen and (min-width: 2138px) and (max-width: 4319px) {
	.CodeMirror-cursor {
	border-left: 2px solid black;
	}
	}
	@media screen and (min-width: 4320px) {
	.CodeMirror-cursor {
	border-left: 4px solid black;
	}
	}
	/*

	Original style from softwaremaniacs.org (c) Ivan Sagalaev <Maniac@SoftwareManiacs.Org>
	Adapted from GitHub theme

	*/
	.highlight-base {
	color: #000;
	}
	.highlight-variable {
	color: #000;
	}
	.highlight-variable-2 {
	color: #1a1a1a;
	}
	.highlight-variable-3 {
	color: #333333;
	}
	.highlight-string {
	color: #BA2121;
	}
	.highlight-comment {
	color: #408080;
	font-style: italic;
	}
	.highlight-number {
	color: #080;
	}
	.highlight-atom {
	color: #88F;
	}
	.highlight-keyword {
	color: #008000;
	font-weight: bold;
	}
	.highlight-builtin {
	color: #008000;
	}
	.highlight-error {
	color: #f00;
	}
	.highlight-operator {
	color: #AA22FF;
	font-weight: bold;
	}
	.highlight-meta {
	color: #AA22FF;
	}
	/* previously not defined, copying from default codemirror */
	.highlight-def {
	color: #00f;
	}
	.highlight-string-2 {
	color: #f50;
	}
	.highlight-qualifier {
	color: #555;
	}
	.highlight-bracket {
	color: #997;
	}
	.highlight-tag {
	color: #170;
	}
	.highlight-attribute {
	color: #00c;
	}
	.highlight-header {
	color: blue;
	}
	.highlight-quote {
	color: #090;
	}
	.highlight-link {
	color: #00c;
	}
	/* apply the same style to codemirror */
	.cm-s-ipython span.cm-keyword {
	color: #008000;
	font-weight: bold;
	}
	.cm-s-ipython span.cm-atom {
	color: #88F;
	}
	.cm-s-ipython span.cm-number {
	color: #080;
	}
	.cm-s-ipython span.cm-def {
	color: #00f;
	}
	.cm-s-ipython span.cm-variable {
	color: #000;
	}
	.cm-s-ipython span.cm-operator {
	color: #AA22FF;
	font-weight: bold;
	}
	.cm-s-ipython span.cm-variable-2 {
	color: #1a1a1a;
	}
	.cm-s-ipython span.cm-variable-3 {
	color: #333333;
	}
	.cm-s-ipython span.cm-comment {
	color: #408080;
	font-style: italic;
	}
	.cm-s-ipython span.cm-string {
	color: #BA2121;
	}
	.cm-s-ipython span.cm-string-2 {
	color: #f50;
	}
	.cm-s-ipython span.cm-meta {
	color: #AA22FF;
	}
	.cm-s-ipython span.cm-qualifier {
	color: #555;
	}
	.cm-s-ipython span.cm-builtin {
	color: #008000;
	}
	.cm-s-ipython span.cm-bracket {
	color: #997;
	}
	.cm-s-ipython span.cm-tag {
	color: #170;
	}
	.cm-s-ipython span.cm-attribute {
	color: #00c;
	}
	.cm-s-ipython span.cm-header {
	color: blue;
	}
	.cm-s-ipython span.cm-quote {
	color: #090;
	}
	.cm-s-ipython span.cm-link {
	color: #00c;
	}
	.cm-s-ipython span.cm-error {
	color: #f00;
	}
	.cm-s-ipython span.cm-tab {
	background: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAADAAAAAMCAYAAAAkuj5RAAAAAXNSR0IArs4c6QAAAGFJREFUSMft1LsRQFAQheHPowAKoACx3IgEKtaEHujDjORSgWTH/ZOdnZOcM/sgk/kFFWY0qV8foQwS4MKBCS3qR6ixBJvElOobYAtivseIE120FaowJPN75GMu8j/LfMwNjh4HUpwg4LUAAAAASUVORK5CYII=);
	background-position: right;
	background-repeat: no-repeat;
	}
	div.output_wrapper {
	/* this position must be relative to enable descendents to be absolute within it */
	position: relative;
	/* Old browsers */
	display: -webkit-box;
	-webkit-box-orient: vertical;
	-webkit-box-align: stretch;
	display: -moz-box;
	-moz-box-orient: vertical;
	-moz-box-align: stretch;
	display: box;
	box-orient: vertical;
	box-align: stretch;
	/* Modern browsers */
	display: flex;
	flex-direction: column;
	align-items: stretch;
	z-index: 1;
	}
	/* class for the output area when it should be height-limited */
	div.output_scroll {
	/* ideally, this would be max-height, but FF barfs all over that */
	height: 24em;
	/* FF needs this and the wrapper to specify full width, or it will shrinkwrap */
	width: 100%;
	overflow: auto;
	border-radius: 2px;
	-webkit-box-shadow: inset 0 2px 8px rgba(0, 0, 0, 0.8);
	box-shadow: inset 0 2px 8px rgba(0, 0, 0, 0.8);
	display: block;
	}
	/* output div while it is collapsed */
	div.output_collapsed {
	margin: 0px;
	padding: 0px;
	/* Old browsers */
	display: -webkit-box;
	-webkit-box-orient: vertical;
	-webkit-box-align: stretch;
	display: -moz-box;
	-moz-box-orient: vertical;
	-moz-box-align: stretch;
	display: box;
	box-orient: vertical;
	box-align: stretch;
	/* Modern browsers */
	display: flex;
	flex-direction: column;
	align-items: stretch;
	}
	div.out_prompt_overlay {
	height: 100%;
	padding: 0px 0.4em;
	position: absolute;
	border-radius: 2px;
	}
	div.out_prompt_overlay:hover {
	/* use inner shadow to get border that is computed the same on WebKit/FF */
	-webkit-box-shadow: inset 0 0 1px #000;
	box-shadow: inset 0 0 1px #000;
	background: rgba(240, 240, 240, 0.5);
	}
	div.output_prompt {
	color: #D84315;
	}
	/* This class is the outer container of all output sections. */
	div.output_area {
	padding: 0px;
	page-break-inside: avoid;
	/* Old browsers */
	display: -webkit-box;
	-webkit-box-orient: horizontal;
	-webkit-box-align: stretch;
	display: -moz-box;
	-moz-box-orient: horizontal;
	-moz-box-align: stretch;
	display: box;
	box-orient: horizontal;
	box-align: stretch;
	/* Modern browsers */
	display: flex;
	flex-direction: row;
	align-items: stretch;
	}
	div.output_area .MathJax_Display {
	text-align: left !important;
	}
	div.output_area .rendered_html table {
	margin-left: 0;
	margin-right: 0;
	}
	div.output_area .rendered_html img {
	margin-left: 0;
	margin-right: 0;
	}
	div.output_area img,
	div.output_area svg {
	max-width: 100%;
	height: auto;
	}
	div.output_area img.unconfined,
	div.output_area svg.unconfined {
	max-width: none;
	}
	div.output_area .mglyph > img {
	max-width: none;
	}
	/* This is needed to protect the pre formating from global settings such
	as that of bootstrap */
	.output {
	/* Old browsers */
	display: -webkit-box;
	-webkit-box-orient: vertical;
	-webkit-box-align: stretch;
	display: -moz-box;
	-moz-box-orient: vertical;
	-moz-box-align: stretch;
	display: box;
	box-orient: vertical;
	box-align: stretch;
	/* Modern browsers */
	display: flex;
	flex-direction: column;
	align-items: stretch;
	}
	@media (max-width: 540px) {
	div.output_area {
	/* Old browsers */
	display: -webkit-box;
	-webkit-box-orient: vertical;
	-webkit-box-align: stretch;
	display: -moz-box;
	-moz-box-orient: vertical;
	-moz-box-align: stretch;
	display: box;
	box-orient: vertical;
	box-align: stretch;
	/* Modern browsers */
	display: flex;
	flex-direction: column;
	align-items: stretch;
	}
	}
	div.output_area pre {
	margin: 0;
	padding: 1px 0 1px 0;
	border: 0;
	vertical-align: baseline;
	color: black;
	background-color: transparent;
	border-radius: 0;
	}
	/* This class is for the output subarea inside the output_area and after
	the prompt div. */
	div.output_subarea {
	overflow-x: auto;
	padding: 0.4em;
	/* Old browsers */
	-webkit-box-flex: 1;
	-moz-box-flex: 1;
	box-flex: 1;
	/* Modern browsers */
	flex: 1;
	max-width: calc(100% - 14ex);
	}
	div.output_scroll div.output_subarea {
	overflow-x: visible;
	}
	/* The rest of the output_* classes are for special styling of the different
	output types */
	/* all text output has this class: */
	div.output_text {
	text-align: left;
	color: #000;
	/* This has to match that of the the CodeMirror class line-height below */
	line-height: 1.21429em;
	}
	/* stdout/stderr are 'text' as well as 'stream', but execute_result/error are not streams */
	div.output_stderr {
	background: #fdd;
	/* very light red background for stderr */
	}
	div.output_latex {
	text-align: left;
	}
	/* Empty output_javascript divs should have no height */
	div.output_javascript:empty {
	padding: 0;
	}
	.js-error {
	color: darkred;
	}
	/* raw_input styles */
	div.raw_input_container {
	line-height: 1.21429em;
	padding-top: 5px;
	}
	pre.raw_input_prompt {
	/* nothing needed here. */
	}
	input.raw_input {
	font-family: monospace;
	font-size: inherit;
	color: inherit;
	width: auto;
	/* make sure input baseline aligns with prompt */
	vertical-align: baseline;
	/* padding + margin = 0.5em between prompt and cursor */
	padding: 0em 0.25em;
	margin: 0em 0.25em;
	}
	input.raw_input:focus {
	box-shadow: none;
	}
	p.p-space {
	margin-bottom: 10px;
	}
	div.output_unrecognized {
	padding: 5px;
	font-weight: bold;
	color: red;
	}
	div.output_unrecognized a {
	color: inherit;
	text-decoration: none;
	}
	div.output_unrecognized a:hover {
	color: inherit;
	text-decoration: none;
	}
	.rendered_html {
	color: #000;
	/* any extras will just be numbers: */
	}
	.rendered_html em {
	font-style: italic;
	}
	.rendered_html strong {
	font-weight: bold;
	}
	.rendered_html u {
	text-decoration: underline;
	}
	.rendered_html :link {
	text-decoration: underline;
	}
	.rendered_html :visited {
	text-decoration: underline;
	}
	.rendered_html h1 {
	font-size: 185.7%;
	margin: 1.08em 0 0 0;
	font-weight: bold;
	line-height: 1.0;
	}
	.rendered_html h2 {
	font-size: 157.1%;
	margin: 1.27em 0 0 0;
	font-weight: bold;
	line-height: 1.0;
	}
	.rendered_html h3 {
	font-size: 128.6%;
	margin: 1.55em 0 0 0;
	font-weight: bold;
	line-height: 1.0;
	}
	.rendered_html h4 {
	font-size: 100%;
	margin: 2em 0 0 0;
	font-weight: bold;
	line-height: 1.0;
	}
	.rendered_html h5 {
	font-size: 100%;
	margin: 2em 0 0 0;
	font-weight: bold;
	line-height: 1.0;
	font-style: italic;
	}
	.rendered_html h6 {
	font-size: 100%;
	margin: 2em 0 0 0;
	font-weight: bold;
	line-height: 1.0;
	font-style: italic;
	}
	.rendered_html h1:first-child {
	margin-top: 0.538em;
	}
	.rendered_html h2:first-child {
	margin-top: 0.636em;
	}
	.rendered_html h3:first-child {
	margin-top: 0.777em;
	}
	.rendered_html h4:first-child {
	margin-top: 1em;
	}
	.rendered_html h5:first-child {
	margin-top: 1em;
	}
	.rendered_html h6:first-child {
	margin-top: 1em;
	}
	.rendered_html ul:not(.list-inline),
	.rendered_html ol:not(.list-inline) {
	padding-left: 2em;
	}
	.rendered_html ul {
	list-style: disc;
	}
	.rendered_html ul ul {
	list-style: square;
	margin-top: 0;
	}
	.rendered_html ul ul ul {
	list-style: circle;
	}
	.rendered_html ol {
	list-style: decimal;
	}
	.rendered_html ol ol {
	list-style: upper-alpha;
	margin-top: 0;
	}
	.rendered_html ol ol ol {
	list-style: lower-alpha;
	}
	.rendered_html ol ol ol ol {
	list-style: lower-roman;
	}
	.rendered_html ol ol ol ol ol {
	list-style: decimal;
	}
	.rendered_html * + ul {
	margin-top: 1em;
	}
	.rendered_html * + ol {
	margin-top: 1em;
	}
	.rendered_html hr {
	color: black;
	background-color: black;
	}
	.rendered_html pre {
	margin: 1em 2em;
	padding: 0px;
	background-color: #fff;
	}
	.rendered_html code {
	background-color: #eff0f1;
	}
	.rendered_html p code {
	padding: 1px 5px;
	}
	.rendered_html pre code {
	background-color: #fff;
	}
	.rendered_html pre,
	.rendered_html code {
	border: 0;
	color: #000;
	font-size: 100%;
	}
	.rendered_html blockquote {
	margin: 1em 2em;
	}
	.rendered_html table {
	margin-left: auto;
	margin-right: auto;
	border: none;
	border-collapse: collapse;
	border-spacing: 0;
	color: black;
	font-size: 12px;
	table-layout: fixed;
	}
	.rendered_html thead {
	border-bottom: 1px solid black;
	vertical-align: bottom;
	}
	.rendered_html tr,
	.rendered_html th,
	.rendered_html td {
	text-align: right;
	vertical-align: middle;
	padding: 0.5em 0.5em;
	line-height: normal;
	white-space: normal;
	max-width: none;
	border: none;
	}
	.rendered_html th {
	font-weight: bold;
	}
	.rendered_html tbody tr:nth-child(odd) {
	background: #f5f5f5;
	}
	.rendered_html tbody tr:hover {
	background: rgba(66, 165, 245, 0.2);
	}
	.rendered_html * + table {
	margin-top: 1em;
	}
	.rendered_html p {
	text-align: left;
	}
	.rendered_html * + p {
	margin-top: 1em;
	}
	.rendered_html img {
	display: block;
	margin-left: auto;
	margin-right: auto;
	}
	.rendered_html * + img {
	margin-top: 1em;
	}
	.rendered_html img,
	.rendered_html svg {
	max-width: 100%;
	height: auto;
	}
	.rendered_html img.unconfined,
	.rendered_html svg.unconfined {
	max-width: none;
	}
	.rendered_html .alert {
	margin-bottom: initial;
	}
	.rendered_html * + .alert {
	margin-top: 1em;
	}
	[dir="rtl"] .rendered_html p {
	text-align: right;
	}
	div.text_cell {
	/* Old browsers */
	display: -webkit-box;
	-webkit-box-orient: horizontal;
	-webkit-box-align: stretch;
	display: -moz-box;
	-moz-box-orient: horizontal;
	-moz-box-align: stretch;
	display: box;
	box-orient: horizontal;
	box-align: stretch;
	/* Modern browsers */
	display: flex;
	flex-direction: row;
	align-items: stretch;
	}
	@media (max-width: 540px) {
	div.text_cell > div.prompt {
	display: none;
	}
	}
	div.text_cell_render {
	/font-family: "Helvetica Neue", Arial, Helvetica, Geneva, sans-serif;/
	outline: none;
	resize: none;
	width: inherit;
	border-style: none;
	padding: 0.5em 0.5em 0.5em 0.4em;
	color: #000;
	box-sizing: border-box;
	-moz-box-sizing: border-box;
	-webkit-box-sizing: border-box;
	}
	a.anchor-link:link {
	text-decoration: none;
	padding: 0px 20px;
	visibility: hidden;
	}
	h1:hover .anchor-link,
	h2:hover .anchor-link,
	h3:hover .anchor-link,
	h4:hover .anchor-link,
	h5:hover .anchor-link,
	h6:hover .anchor-link {
	visibility: visible;
	}
	.text_cell.rendered .input_area {
	display: none;
	}
	.text_cell.rendered .rendered_html {
	overflow-x: auto;
	overflow-y: hidden;
	}
	.text_cell.rendered .rendered_html tr,
	.text_cell.rendered .rendered_html th,
	.text_cell.rendered .rendered_html td {
	max-width: none;
	}
	.text_cell.unrendered .text_cell_render {
	display: none;
	}
	.text_cell .dropzone .input_area {
	border: 2px dashed #bababa;
	margin: -1px;
	}
	.cm-header-1,
	.cm-header-2,
	.cm-header-3,
	.cm-header-4,
	.cm-header-5,
	.cm-header-6 {
	font-weight: bold;
	font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
	}
	.cm-header-1 {
	font-size: 185.7%;
	}
	.cm-header-2 {
	font-size: 157.1%;
	}
	.cm-header-3 {
	font-size: 128.6%;
	}
	.cm-header-4 {
	font-size: 110%;
	}
	.cm-header-5 {
	font-size: 100%;
	font-style: italic;
	}
	.cm-header-6 {
	font-size: 100%;
	font-style: italic;
	}
	/*!
	*
	* IPython notebook webapp
	*
	*/
	@media (max-width: 767px) {
	.notebook_app {
	padding-left: 0px;
	padding-right: 0px;
	}
	}
	#ipython-main-app {
	box-sizing: border-box;
	-moz-box-sizing: border-box;
	-webkit-box-sizing: border-box;
	height: 100%;
	}
	div#notebook_panel {
	margin: 0px;
	padding: 0px;
	box-sizing: border-box;
	-moz-box-sizing: border-box;
	-webkit-box-sizing: border-box;
	height: 100%;
	}
	div#notebook {
	font-size: 14px;
	line-height: 20px;
	overflow-y: hidden;
	overflow-x: auto;
	width: 100%;
	/* This spaces the page away from the edge of the notebook area */
	padding-top: 20px;
	margin: 0px;
	outline: none;
	box-sizing: border-box;
	-moz-box-sizing: border-box;
	-webkit-box-sizing: border-box;
	min-height: 100%;
	}
	@media not print {
	#notebook-container {
	padding: 15px;
	background-color: #fff;
	min-height: 0;
	-webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
	box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
	}
	}
	@media print {
	#notebook-container {
	width: 100%;
	}
	}
	div.ui-widget-content {
	border: 1px solid #ababab;
	outline: none;
	}
	pre.dialog {
	background-color: #f7f7f7;
	border: 1px solid #ddd;
	border-radius: 2px;
	padding: 0.4em;
	padding-left: 2em;
	}
	p.dialog {
	padding: 0.2em;
	}
	/* Word-wrap output correctly. This is the CSS3 spelling, though Firefox seems
	to not honor it correctly. Webkit browsers (Chrome, rekonq, Safari) do.
	*/
	pre,
	code,
	kbd,
	samp {
	white-space: pre-wrap;
	}
	#fonttest {
	font-family: monospace;
	}
	p {
	margin-bottom: 0;
	}
	.end_space {
	min-height: 100px;
	transition: height .2s ease;
	}
	.notebook_app > #header {
	-webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
	box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
	}
	@media not print {
	.notebook_app {
	background-color: #EEE;
	}
	}
	kbd {
	border-style: solid;
	border-width: 1px;
	box-shadow: none;
	margin: 2px;
	padding-left: 2px;
	padding-right: 2px;
	padding-top: 1px;
	padding-bottom: 1px;
	}
	.jupyter-keybindings {
	padding: 1px;
	line-height: 24px;
	border-bottom: 1px solid gray;
	}
	.jupyter-keybindings input {
	margin: 0;
	padding: 0;
	border: none;
	}
	.jupyter-keybindings i {
	padding: 6px;
	}
	.well code {
	background-color: #ffffff;
	border-color: #ababab;
	border-width: 1px;
	border-style: solid;
	padding: 2px;
	padding-top: 1px;
	padding-bottom: 1px;
	}
	/* CSS for the cell toolbar */
	.celltoolbar {
	border: thin solid #CFCFCF;
	border-bottom: none;
	background: #EEE;
	border-radius: 2px 2px 0px 0px;
	width: 100%;
	height: 29px;
	padding-right: 4px;
	/* Old browsers */
	display: -webkit-box;
	-webkit-box-orient: horizontal;
	-webkit-box-align: stretch;
	display: -moz-box;
	-moz-box-orient: horizontal;
	-moz-box-align: stretch;
	display: box;
	box-orient: horizontal;
	box-align: stretch;
	/* Modern browsers */
	display: flex;
	flex-direction: row;
	align-items: stretch;
	/* Old browsers */
	-webkit-box-pack: end;
	-moz-box-pack: end;
	box-pack: end;
	/* Modern browsers */
	justify-content: flex-end;
	display: -webkit-flex;
	}
	@media print {
	.celltoolbar {
	display: none;
	}
	}
	.ctb_hideshow {
	display: none;
	vertical-align: bottom;
	}
	/* ctb_show is added to the ctb_hideshow div to show the cell toolbar.
	Cell toolbars are only shown when the ctb_global_show class is also set.
	*/
	.ctb_global_show .ctb_show.ctb_hideshow {
	display: block;
	}
	.ctb_global_show .ctb_show + .input_area,
	.ctb_global_show .ctb_show + div.text_cell_input,
	.ctb_global_show .ctb_show ~ div.text_cell_render {
	border-top-right-radius: 0px;
	border-top-left-radius: 0px;
	}
	.ctb_global_show .ctb_show ~ div.text_cell_render {
	border: 1px solid #cfcfcf;
	}
	.celltoolbar {
	font-size: 87%;
	padding-top: 3px;
	}
	.celltoolbar select {
	display: block;
	width: 100%;
	height: 32px;
	padding: 6px 12px;
	font-size: 13px;
	line-height: 1.42857143;
	color: #555555;
	background-color: #fff;
	background-image: none;
	border: 1px solid #ccc;
	border-radius: 2px;
	-webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
	box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
	-webkit-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
	-o-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
	transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
	height: 30px;
	padding: 5px 10px;
	font-size: 12px;
	line-height: 1.5;
	border-radius: 1px;
	width: inherit;
	font-size: inherit;
	height: 22px;
	padding: 0px;
	display: inline-block;
	}
	.celltoolbar select:focus {
	border-color: #66afe9;
	outline: 0;
	-webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
	box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
	}
	.celltoolbar select::-moz-placeholder {
	color: #999;
	opacity: 1;
	}
	.celltoolbar select:-ms-input-placeholder {
	color: #999;
	}
	.celltoolbar select::-webkit-input-placeholder {
	color: #999;
	}
	.celltoolbar select::-ms-expand {
	border: 0;
	background-color: transparent;
	}
	.celltoolbar select[disabled],
	.celltoolbar select[readonly],
	fieldset[disabled] .celltoolbar select {
	background-color: #eeeeee;
	opacity: 1;
	}
	.celltoolbar select[disabled],
	fieldset[disabled] .celltoolbar select {
	cursor: not-allowed;
	}
	textarea.celltoolbar select {
	height: auto;
	}
	select.celltoolbar select {
	height: 30px;
	line-height: 30px;
	}
	textarea.celltoolbar select,
	select[multiple].celltoolbar select {
	height: auto;
	}
	.celltoolbar label {
	margin-left: 5px;
	margin-right: 5px;
	}
	.tags_button_container {
	width: 100%;
	display: flex;
	}
	.tag-container {
	display: flex;
	flex-direction: row;
	flex-grow: 1;
	overflow: hidden;
	position: relative;
	}
	.tag-container > * {
	margin: 0 4px;
	}
	.remove-tag-btn {
	margin-left: 4px;
	}
	.tags-input {
	display: flex;
	}
	.cell-tag:last-child:after {
	content: "";
	position: absolute;
	right: 0;
	width: 40px;
	height: 100%;
	/* Fade to background color of cell toolbar */
	background: linear-gradient(to right, rgba(0, 0, 0, 0), #EEE);
	}
	.tags-input > * {
	margin-left: 4px;
	}
	.cell-tag,
	.tags-input input,
	.tags-input button {
	display: block;
	width: 100%;
	height: 32px;
	padding: 6px 12px;
	font-size: 13px;
	line-height: 1.42857143;
	color: #555555;
	background-color: #fff;
	background-image: none;
	border: 1px solid #ccc;
	border-radius: 2px;
	-webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
	box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
	-webkit-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
	-o-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
	transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
	height: 30px;
	padding: 5px 10px;
	font-size: 12px;
	line-height: 1.5;
	border-radius: 1px;
	box-shadow: none;
	width: inherit;
	font-size: inherit;
	height: 22px;
	line-height: 22px;
	padding: 0px 4px;
	display: inline-block;
	}
	.cell-tag:focus,
	.tags-input input:focus,
	.tags-input button:focus {
	border-color: #66afe9;
	outline: 0;
	-webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
	box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
	}
	.cell-tag::-moz-placeholder,
	.tags-input input::-moz-placeholder,
	.tags-input button::-moz-placeholder {
	color: #999;
	opacity: 1;
	}
	.cell-tag:-ms-input-placeholder,
	.tags-input input:-ms-input-placeholder,
	.tags-input button:-ms-input-placeholder {
	color: #999;
	}
	.cell-tag::-webkit-input-placeholder,
	.tags-input input::-webkit-input-placeholder,
	.tags-input button::-webkit-input-placeholder {
	color: #999;
	}
	.cell-tag::-ms-expand,
	.tags-input input::-ms-expand,
	.tags-input button::-ms-expand {
	border: 0;
	background-color: transparent;
	}
	.cell-tag[disabled],
	.tags-input input[disabled],
	.tags-input button[disabled],
	.cell-tag[readonly],
	.tags-input input[readonly],
	.tags-input button[readonly],
	fieldset[disabled] .cell-tag,
	fieldset[disabled] .tags-input input,
	fieldset[disabled] .tags-input button {
	background-color: #eeeeee;
	opacity: 1;
	}
	.cell-tag[disabled],
	.tags-input input[disabled],
	.tags-input button[disabled],
	fieldset[disabled] .cell-tag,
	fieldset[disabled] .tags-input input,
	fieldset[disabled] .tags-input button {
	cursor: not-allowed;
	}
	textarea.cell-tag,
	textarea.tags-input input,
	textarea.tags-input button {
	height: auto;
	}
	select.cell-tag,
	select.tags-input input,
	select.tags-input button {
	height: 30px;
	line-height: 30px;
	}
	textarea.cell-tag,
	textarea.tags-input input,
	textarea.tags-input button,
	select[multiple].cell-tag,
	select[multiple].tags-input input,
	select[multiple].tags-input button {
	height: auto;
	}
	.cell-tag,
	.tags-input button {
	padding: 0px 4px;
	}
	.cell-tag {
	background-color: #fff;
	white-space: nowrap;
	}
	.tags-input input[type=text]:focus {
	outline: none;
	box-shadow: none;
	border-color: #ccc;
	}
	.completions {
	position: absolute;
	z-index: 110;
	overflow: hidden;
	border: 1px solid #ababab;
	border-radius: 2px;
	-webkit-box-shadow: 0px 6px 10px -1px #adadad;
	box-shadow: 0px 6px 10px -1px #adadad;
	line-height: 1;
	}
	.completions select {
	background: white;
	outline: none;
	border: none;
	padding: 0px;
	margin: 0px;
	overflow: auto;
	font-family: monospace;
	font-size: 110%;
	color: #000;
	width: auto;
	}
	.completions select option.context {
	color: #286090;
	}
	#kernel_logo_widget .current_kernel_logo {
	display: none;
	margin-top: -1px;
	margin-bottom: -1px;
	width: 32px;
	height: 32px;
	}
	[dir="rtl"] #kernel_logo_widget {
	float: left !important;
	float: left;
	}
	.modal .modal-body .move-path {
	display: flex;
	flex-direction: row;
	justify-content: space;
	align-items: center;
	}
	.modal .modal-body .move-path .server-root {
	padding-right: 20px;
	}
	.modal .modal-body .move-path .path-input {
	flex: 1;
	}
	#menubar {
	box-sizing: border-box;
	-moz-box-sizing: border-box;
	-webkit-box-sizing: border-box;
	margin-top: 1px;
	}
	#menubar .navbar {
	border-top: 1px;
	border-radius: 0px 0px 2px 2px;
	margin-bottom: 0px;
	}
	#menubar .navbar-toggle {
	float: left;
	padding-top: 7px;
	padding-bottom: 7px;
	border: none;
	}
	#menubar .navbar-collapse {
	clear: left;
	}
	[dir="rtl"] #menubar .navbar-toggle {
	float: right;
	}
	[dir="rtl"] #menubar .navbar-collapse {
	clear: right;
	}
	[dir="rtl"] #menubar .navbar-nav {
	float: right;
	}
	[dir="rtl"] #menubar .nav {
	padding-right: 0px;
	}
	[dir="rtl"] #menubar .navbar-nav > li {
	float: right;
	}
	[dir="rtl"] #menubar .navbar-right {
	float: left !important;
	}
	[dir="rtl"] ul.dropdown-menu {
	text-align: right;
	left: auto;
	}
	[dir="rtl"] ul#new-menu.dropdown-menu {
	right: auto;
	left: 0;
	}
	.nav-wrapper {
	border-bottom: 1px solid #e7e7e7;
	}
	i.menu-icon {
	padding-top: 4px;
	}
	[dir="rtl"] i.menu-icon.pull-right {
	float: left !important;
	float: left;
	}
	ul#help_menu li a {
	overflow: hidden;
	padding-right: 2.2em;
	}
	ul#help_menu li a i {
	margin-right: -1.2em;
	}
	[dir="rtl"] ul#help_menu li a {
	padding-left: 2.2em;
	}
	[dir="rtl"] ul#help_menu li a i {
	margin-right: 0;
	margin-left: -1.2em;
	}
	[dir="rtl"] ul#help_menu li a i.pull-right {
	float: left !important;
	float: left;
	}
	.dropdown-submenu {
	position: relative;
	}
	.dropdown-submenu > .dropdown-menu {
	top: 0;
	left: 100%;
	margin-top: -6px;
	margin-left: -1px;
	}
	[dir="rtl"] .dropdown-submenu > .dropdown-menu {
	right: 100%;
	margin-right: -1px;
	}
	.dropdown-submenu:hover > .dropdown-menu {
	display: block;
	}
	.dropdown-submenu > a:after {
	display: inline-block;
	font: normal normal normal 14px/1 FontAwesome;
	font-size: inherit;
	text-rendering: auto;
	-webkit-font-smoothing: antialiased;
	-moz-osx-font-smoothing: grayscale;
	display: block;
	content: "\f0da";
	float: right;
	color: #333333;
	margin-top: 2px;
	margin-right: -10px;
	}
	.dropdown-submenu > a:after.fa-pull-left {
	margin-right: .3em;
	}
	.dropdown-submenu > a:after.fa-pull-right {
	margin-left: .3em;
	}
	.dropdown-submenu > a:after.pull-left {
	margin-right: .3em;
	}
	.dropdown-submenu > a:after.pull-right {
	margin-left: .3em;
	}
	[dir="rtl"] .dropdown-submenu > a:after {
	float: left;
	content: "\f0d9";
	margin-right: 0;
	margin-left: -10px;
	}
	.dropdown-submenu:hover > a:after {
	color: #262626;
	}
	.dropdown-submenu.pull-left {
	float: none;
	}
	.dropdown-submenu.pull-left > .dropdown-menu {
	left: -100%;
	margin-left: 10px;
	}
	#notification_area {
	float: right !important;
	float: right;
	z-index: 10;
	}
	[dir="rtl"] #notification_area {
	float: left !important;
	float: left;
	}
	.indicator_area {
	float: right !important;
	float: right;
	color: #777;
	margin-left: 5px;
	margin-right: 5px;
	width: 11px;
	z-index: 10;
	text-align: center;
	width: auto;
	}
	[dir="rtl"] .indicator_area {
	float: left !important;
	float: left;
	}
	#kernel_indicator {
	float: right !important;
	float: right;
	color: #777;
	margin-left: 5px;
	margin-right: 5px;
	width: 11px;
	z-index: 10;
	text-align: center;
	width: auto;
	border-left: 1px solid;
	}
	#kernel_indicator .kernel_indicator_name {
	padding-left: 5px;
	padding-right: 5px;
	}
	[dir="rtl"] #kernel_indicator {
	float: left !important;
	float: left;
	border-left: 0;
	border-right: 1px solid;
	}
	#modal_indicator {
	float: right !important;
	float: right;
	color: #777;
	margin-left: 5px;
	margin-right: 5px;
	width: 11px;
	z-index: 10;
	text-align: center;
	width: auto;
	}
	[dir="rtl"] #modal_indicator {
	float: left !important;
	float: left;
	}
	#readonly-indicator {
	float: right !important;
	float: right;
	color: #777;
	margin-left: 5px;
	margin-right: 5px;
	width: 11px;
	z-index: 10;
	text-align: center;
	width: auto;
	margin-top: 2px;
	margin-bottom: 0px;
	margin-left: 0px;
	margin-right: 0px;
	display: none;
	}
	.modal_indicator:before {
	width: 1.28571429em;
	text-align: center;
	}
	.edit_mode .modal_indicator:before {
	display: inline-block;
	font: normal normal normal 14px/1 FontAwesome;
	font-size: inherit;
	text-rendering: auto;
	-webkit-font-smoothing: antialiased;
	-moz-osx-font-smoothing: grayscale;
	content: "\f040";
	}
	.edit_mode .modal_indicator:before.fa-pull-left {
	margin-right: .3em;
	}
	.edit_mode .modal_indicator:before.fa-pull-right {
	margin-left: .3em;
	}
	.edit_mode .modal_indicator:before.pull-left {
	margin-right: .3em;
	}
	.edit_mode .modal_indicator:before.pull-right {
	margin-left: .3em;
	}
	.command_mode .modal_indicator:before {
	display: inline-block;
	font: normal normal normal 14px/1 FontAwesome;
	font-size: inherit;
	text-rendering: auto;
	-webkit-font-smoothing: antialiased;
	-moz-osx-font-smoothing: grayscale;
	content: ' ';
	}
	.command_mode .modal_indicator:before.fa-pull-left {
	margin-right: .3em;
	}
	.command_mode .modal_indicator:before.fa-pull-right {
	margin-left: .3em;
	}
	.command_mode .modal_indicator:before.pull-left {
	margin-right: .3em;
	}
	.command_mode .modal_indicator:before.pull-right {
	margin-left: .3em;
	}
	.kernel_idle_icon:before {
	display: inline-block;
	font: normal normal normal 14px/1 FontAwesome;
	font-size: inherit;
	text-rendering: auto;
	-webkit-font-smoothing: antialiased;
	-moz-osx-font-smoothing: grayscale;
	content: "\f10c";
	}
	.kernel_idle_icon:before.fa-pull-left {
	margin-right: .3em;
	}
	.kernel_idle_icon:before.fa-pull-right {
	margin-left: .3em;
	}
	.kernel_idle_icon:before.pull-left {
	margin-right: .3em;
	}
	.kernel_idle_icon:before.pull-right {
	margin-left: .3em;
	}
	.kernel_busy_icon:before {
	display: inline-block;
	font: normal normal normal 14px/1 FontAwesome;
	font-size: inherit;
	text-rendering: auto;
	-webkit-font-smoothing: antialiased;
	-moz-osx-font-smoothing: grayscale;
	content: "\f111";
	}
	.kernel_busy_icon:before.fa-pull-left {
	margin-right: .3em;
	}
	.kernel_busy_icon:before.fa-pull-right {
	margin-left: .3em;
	}
	.kernel_busy_icon:before.pull-left {
	margin-right: .3em;
	}
	.kernel_busy_icon:before.pull-right {
	margin-left: .3em;
	}
	.kernel_dead_icon:before {
	display: inline-block;
	font: normal normal normal 14px/1 FontAwesome;
	font-size: inherit;
	text-rendering: auto;
	-webkit-font-smoothing: antialiased;
	-moz-osx-font-smoothing: grayscale;
	content: "\f1e2";
	}
	.kernel_dead_icon:before.fa-pull-left {
	margin-right: .3em;
	}
	.kernel_dead_icon:before.fa-pull-right {
	margin-left: .3em;
	}
	.kernel_dead_icon:before.pull-left {
	margin-right: .3em;
	}
	.kernel_dead_icon:before.pull-right {
	margin-left: .3em;
	}
	.kernel_disconnected_icon:before {
	display: inline-block;
	font: normal normal normal 14px/1 FontAwesome;
	font-size: inherit;
	text-rendering: auto;
	-webkit-font-smoothing: antialiased;
	-moz-osx-font-smoothing: grayscale;
	content: "\f127";
	}
	.kernel_disconnected_icon:before.fa-pull-left {
	margin-right: .3em;
	}
	.kernel_disconnected_icon:before.fa-pull-right {
	margin-left: .3em;
	}
	.kernel_disconnected_icon:before.pull-left {
	margin-right: .3em;
	}
	.kernel_disconnected_icon:before.pull-right {
	margin-left: .3em;
	}
	.notification_widget {
	color: #777;
	z-index: 10;
	background: rgba(240, 240, 240, 0.5);
	margin-right: 4px;
	color: #333;
	background-color: #fff;
	border-color: #ccc;
	}
	.notification_widget:focus,
	.notification_widget.focus {
	color: #333;
	background-color: #e6e6e6;
	border-color: #8c8c8c;
	}
	.notification_widget:hover {
	color: #333;
	background-color: #e6e6e6;
	border-color: #adadad;
	}
	.notification_widget:active,
	.notification_widget.active,
	.open > .dropdown-toggle.notification_widget {
	color: #333;
	background-color: #e6e6e6;
	border-color: #adadad;
	}
	.notification_widget:active:hover,
	.notification_widget.active:hover,
	.open > .dropdown-toggle.notification_widget:hover,
	.notification_widget:active:focus,
	.notification_widget.active:focus,
	.open > .dropdown-toggle.notification_widget:focus,
	.notification_widget:active.focus,
	.notification_widget.active.focus,
	.open > .dropdown-toggle.notification_widget.focus {
	color: #333;
	background-color: #d4d4d4;
	border-color: #8c8c8c;
	}
	.notification_widget:active,
	.notification_widget.active,
	.open > .dropdown-toggle.notification_widget {
	background-image: none;
	}
	.notification_widget.disabled:hover,
	.notification_widget[disabled]:hover,
	fieldset[disabled] .notification_widget:hover,
	.notification_widget.disabled:focus,
	.notification_widget[disabled]:focus,
	fieldset[disabled] .notification_widget:focus,
	.notification_widget.disabled.focus,
	.notification_widget[disabled].focus,
	fieldset[disabled] .notification_widget.focus {
	background-color: #fff;
	border-color: #ccc;
	}
	.notification_widget .badge {
	color: #fff;
	background-color: #333;
	}
	.notification_widget.warning {
	color: #fff;
	background-color: #f0ad4e;
	border-color: #eea236;
	}
	.notification_widget.warning:focus,
	.notification_widget.warning.focus {
	color: #fff;
	background-color: #ec971f;
	border-color: #985f0d;
	}
	.notification_widget.warning:hover {
	color: #fff;
	background-color: #ec971f;
	border-color: #d58512;
	}
	.notification_widget.warning:active,
	.notification_widget.warning.active,
	.open > .dropdown-toggle.notification_widget.warning {
	color: #fff;
	background-color: #ec971f;
	border-color: #d58512;
	}
	.notification_widget.warning:active:hover,
	.notification_widget.warning.active:hover,
	.open > .dropdown-toggle.notification_widget.warning:hover,
	.notification_widget.warning:active:focus,
	.notification_widget.warning.active:focus,
	.open > .dropdown-toggle.notification_widget.warning:focus,
	.notification_widget.warning:active.focus,
	.notification_widget.warning.active.focus,
	.open > .dropdown-toggle.notification_widget.warning.focus {
	color: #fff;
	background-color: #d58512;
	border-color: #985f0d;
	}
	.notification_widget.warning:active,
	.notification_widget.warning.active,
	.open > .dropdown-toggle.notification_widget.warning {
	background-image: none;
	}
	.notification_widget.warning.disabled:hover,
	.notification_widget.warning[disabled]:hover,
	fieldset[disabled] .notification_widget.warning:hover,
	.notification_widget.warning.disabled:focus,
	.notification_widget.warning[disabled]:focus,
	fieldset[disabled] .notification_widget.warning:focus,
	.notification_widget.warning.disabled.focus,
	.notification_widget.warning[disabled].focus,
	fieldset[disabled] .notification_widget.warning.focus {
	background-color: #f0ad4e;
	border-color: #eea236;
	}
	.notification_widget.warning .badge {
	color: #f0ad4e;
	background-color: #fff;
	}
	.notification_widget.success {
	color: #fff;
	background-color: #5cb85c;
	border-color: #4cae4c;
	}
	.notification_widget.success:focus,
	.notification_widget.success.focus {
	color: #fff;
	background-color: #449d44;
	border-color: #255625;
	}
	.notification_widget.success:hover {
	color: #fff;
	background-color: #449d44;
	border-color: #398439;
	}
	.notification_widget.success:active,
	.notification_widget.success.active,
	.open > .dropdown-toggle.notification_widget.success {
	color: #fff;
	background-color: #449d44;
	border-color: #398439;
	}
	.notification_widget.success:active:hover,
	.notification_widget.success.active:hover,
	.open > .dropdown-toggle.notification_widget.success:hover,
	.notification_widget.success:active:focus,
	.notification_widget.success.active:focus,
	.open > .dropdown-toggle.notification_widget.success:focus,
	.notification_widget.success:active.focus,
	.notification_widget.success.active.focus,
	.open > .dropdown-toggle.notification_widget.success.focus {
	color: #fff;
	background-color: #398439;
	border-color: #255625;
	}
	.notification_widget.success:active,
	.notification_widget.success.active,
	.open > .dropdown-toggle.notification_widget.success {
	background-image: none;
	}
	.notification_widget.success.disabled:hover,
	.notification_widget.success[disabled]:hover,
	fieldset[disabled] .notification_widget.success:hover,
	.notification_widget.success.disabled:focus,
	.notification_widget.success[disabled]:focus,
	fieldset[disabled] .notification_widget.success:focus,
	.notification_widget.success.disabled.focus,
	.notification_widget.success[disabled].focus,
	fieldset[disabled] .notification_widget.success.focus {
	background-color: #5cb85c;
	border-color: #4cae4c;
	}
	.notification_widget.success .badge {
	color: #5cb85c;
	background-color: #fff;
	}
	.notification_widget.info {
	color: #fff;
	background-color: #5bc0de;
	border-color: #46b8da;
	}
	.notification_widget.info:focus,
	.notification_widget.info.focus {
	color: #fff;
	background-color: #31b0d5;
	border-color: #1b6d85;
	}
	.notification_widget.info:hover {
	color: #fff;
	background-color: #31b0d5;
	border-color: #269abc;
	}
	.notification_widget.info:active,
	.notification_widget.info.active,
	.open > .dropdown-toggle.notification_widget.info {
	color: #fff;
	background-color: #31b0d5;
	border-color: #269abc;
	}
	.notification_widget.info:active:hover,
	.notification_widget.info.active:hover,
	.open > .dropdown-toggle.notification_widget.info:hover,
	.notification_widget.info:active:focus,
	.notification_widget.info.active:focus,
	.open > .dropdown-toggle.notification_widget.info:focus,
	.notification_widget.info:active.focus,
	.notification_widget.info.active.focus,
	.open > .dropdown-toggle.notification_widget.info.focus {
	color: #fff;
	background-color: #269abc;
	border-color: #1b6d85;
	}
	.notification_widget.info:active,
	.notification_widget.info.active,
	.open > .dropdown-toggle.notification_widget.info {
	background-image: none;
	}
	.notification_widget.info.disabled:hover,
	.notification_widget.info[disabled]:hover,
	fieldset[disabled] .notification_widget.info:hover,
	.notification_widget.info.disabled:focus,
	.notification_widget.info[disabled]:focus,
	fieldset[disabled] .notification_widget.info:focus,
	.notification_widget.info.disabled.focus,
	.notification_widget.info[disabled].focus,
	fieldset[disabled] .notification_widget.info.focus {
	background-color: #5bc0de;
	border-color: #46b8da;
	}
	.notification_widget.info .badge {
	color: #5bc0de;
	background-color: #fff;
	}
	.notification_widget.danger {
	color: #fff;
	background-color: #d9534f;
	border-color: #d43f3a;
	}
	.notification_widget.danger:focus,
	.notification_widget.danger.focus {
	color: #fff;
	background-color: #c9302c;
	border-color: #761c19;
	}
	.notification_widget.danger:hover {
	color: #fff;
	background-color: #c9302c;
	border-color: #ac2925;
	}
	.notification_widget.danger:active,
	.notification_widget.danger.active,
	.open > .dropdown-toggle.notification_widget.danger {
	color: #fff;
	background-color: #c9302c;
	border-color: #ac2925;
	}
	.notification_widget.danger:active:hover,
	.notification_widget.danger.active:hover,
	.open > .dropdown-toggle.notification_widget.danger:hover,
	.notification_widget.danger:active:focus,
	.notification_widget.danger.active:focus,
	.open > .dropdown-toggle.notification_widget.danger:focus,
	.notification_widget.danger:active.focus,
	.notification_widget.danger.active.focus,
	.open > .dropdown-toggle.notification_widget.danger.focus {
	color: #fff;
	background-color: #ac2925;
	border-color: #761c19;
	}
	.notification_widget.danger:active,
	.notification_widget.danger.active,
	.open > .dropdown-toggle.notification_widget.danger {
	background-image: none;
	}
	.notification_widget.danger.disabled:hover,
	.notification_widget.danger[disabled]:hover,
	fieldset[disabled] .notification_widget.danger:hover,
	.notification_widget.danger.disabled:focus,
	.notification_widget.danger[disabled]:focus,
	fieldset[disabled] .notification_widget.danger:focus,
	.notification_widget.danger.disabled.focus,
	.notification_widget.danger[disabled].focus,
	fieldset[disabled] .notification_widget.danger.focus {
	background-color: #d9534f;
	border-color: #d43f3a;
	}
	.notification_widget.danger .badge {
	color: #d9534f;
	background-color: #fff;
	}
	div#pager {
	background-color: #fff;
	font-size: 14px;
	line-height: 20px;
	overflow: hidden;
	display: none;
	position: fixed;
	bottom: 0px;
	width: 100%;
	max-height: 50%;
	padding-top: 8px;
	-webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
	box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
	/* Display over codemirror */
	z-index: 100;
	/* Hack which prevents jquery ui resizable from changing top. */
	top: auto !important;
	}
	div#pager pre {
	line-height: 1.21429em;
	color: #000;
	background-color: #f7f7f7;
	padding: 0.4em;
	}
	div#pager #pager-button-area {
	position: absolute;
	top: 8px;
	right: 20px;
	}
	div#pager #pager-contents {
	position: relative;
	overflow: auto;
	width: 100%;
	height: 100%;
	}
	div#pager #pager-contents #pager-container {
	position: relative;
	padding: 15px 0px;
	box-sizing: border-box;
	-moz-box-sizing: border-box;
	-webkit-box-sizing: border-box;
	}
	div#pager .ui-resizable-handle {
	top: 0px;
	height: 8px;
	background: #f7f7f7;
	border-top: 1px solid #cfcfcf;
	border-bottom: 1px solid #cfcfcf;
	/* This injects handle bars (a short, wide = symbol) for
	the resize handle. */
	}
	div#pager .ui-resizable-handle::after {
	content: '';
	top: 2px;
	left: 50%;
	height: 3px;
	width: 30px;
	margin-left: -15px;
	position: absolute;
	border-top: 1px solid #cfcfcf;
	}
	.quickhelp {
	/* Old browsers */
	display: -webkit-box;
	-webkit-box-orient: horizontal;
	-webkit-box-align: stretch;
	display: -moz-box;
	-moz-box-orient: horizontal;
	-moz-box-align: stretch;
	display: box;
	box-orient: horizontal;
	box-align: stretch;
	/* Modern browsers */
	display: flex;
	flex-direction: row;
	align-items: stretch;
	line-height: 1.8em;
	}
	.shortcut_key {
	display: inline-block;
	width: 21ex;
	text-align: right;
	font-family: monospace;
	}
	.shortcut_descr {
	display: inline-block;
	/* Old browsers */
	-webkit-box-flex: 1;
	-moz-box-flex: 1;
	box-flex: 1;
	/* Modern browsers */
	flex: 1;
	}
	span.save_widget {
	height: 30px;
	margin-top: 4px;
	display: flex;
	justify-content: flex-start;
	align-items: baseline;
	width: 50%;
	flex: 1;
	}
	span.save_widget span.filename {
	height: 100%;
	line-height: 1em;
	margin-left: 16px;
	border: none;
	font-size: 146.5%;
	text-overflow: ellipsis;
	overflow: hidden;
	white-space: nowrap;
	border-radius: 2px;
	}
	span.save_widget span.filename:hover {
	background-color: #e6e6e6;
	}
	[dir="rtl"] span.save_widget.pull-left {
	float: right !important;
	float: right;
	}
	[dir="rtl"] span.save_widget span.filename {
	margin-left: 0;
	margin-right: 16px;
	}
	span.checkpoint_status,
	span.autosave_status {
	font-size: small;
	white-space: nowrap;
	padding: 0 5px;
	}
	@media (max-width: 767px) {
	span.save_widget {
	font-size: small;
	padding: 0 0 0 5px;
	}
	span.checkpoint_status,
	span.autosave_status {
	display: none;
	}
	}
	@media (min-width: 768px) and (max-width: 991px) {
	span.checkpoint_status {
	display: none;
	}
	span.autosave_status {
	font-size: x-small;
	}
	}
	.toolbar {
	padding: 0px;
	margin-left: -5px;
	margin-top: 2px;
	margin-bottom: 5px;
	box-sizing: border-box;
	-moz-box-sizing: border-box;
	-webkit-box-sizing: border-box;
	}
	.toolbar select,
	.toolbar label {
	width: auto;
	vertical-align: middle;
	margin-right: 2px;
	margin-bottom: 0px;
	display: inline;
	font-size: 92%;
	margin-left: 0.3em;
	margin-right: 0.3em;
	padding: 0px;
	padding-top: 3px;
	}
	.toolbar .btn {
	padding: 2px 8px;
	}
	.toolbar .btn-group {
	margin-top: 0px;
	margin-left: 5px;
	}
	.toolbar-btn-label {
	margin-left: 6px;
	}
	#maintoolbar {
	margin-bottom: -3px;
	margin-top: -8px;
	border: 0px;
	min-height: 27px;
	margin-left: 0px;
	padding-top: 11px;
	padding-bottom: 3px;
	}
	#maintoolbar .navbar-text {
	float: none;
	vertical-align: middle;
	text-align: right;
	margin-left: 5px;
	margin-right: 0px;
	margin-top: 0px;
	}
	.select-xs {
	height: 24px;
	}
	[dir="rtl"] .btn-group > .btn,
	.btn-group-vertical > .btn {
	float: right;
	}
	.pulse,
	.dropdown-menu > li > a.pulse,
	li.pulse > a.dropdown-toggle,
	li.pulse.open > a.dropdown-toggle {
	background-color: #F37626;
	color: white;
	}
	/**
	* Primary styles
	*
	* Author: Jupyter Development Team
	*/
	/** WARNING IF YOU ARE EDITTING THIS FILE, if this is a .css file, It has a lot
	* of chance of beeing generated from the ../less/[samename].less file, you can
	* try to get back the less file by reverting somme commit in history
	**/
	/*
	* We'll try to get something pretty, so we
	* have some strange css to have the scroll bar on
	* the left with fix button on the top right of the tooltip
	*/
	@-moz-keyframes fadeOut {
	from {
	opacity: 1;
	}
	to {
	opacity: 0;
	}
	}
	@-webkit-keyframes fadeOut {
	from {
	opacity: 1;
	}
	to {
	opacity: 0;
	}
	}
	@-moz-keyframes fadeIn {
	from {
	opacity: 0;
	}
	to {
	opacity: 1;
	}
	}
	@-webkit-keyframes fadeIn {
	from {
	opacity: 0;
	}
	to {
	opacity: 1;
	}
	}
	/properties of tooltip after "expand"/
	.bigtooltip {
	overflow: auto;
	height: 200px;
	-webkit-transition-property: height;
	-webkit-transition-duration: 500ms;
	-moz-transition-property: height;
	-moz-transition-duration: 500ms;
	transition-property: height;
	transition-duration: 500ms;
	}
	/properties of tooltip before "expand"/
	.smalltooltip {
	-webkit-transition-property: height;
	-webkit-transition-duration: 500ms;
	-moz-transition-property: height;
	-moz-transition-duration: 500ms;
	transition-property: height;
	transition-duration: 500ms;
	text-overflow: ellipsis;
	overflow: hidden;
	height: 80px;
	}
	.tooltipbuttons {
	position: absolute;
	padding-right: 15px;
	top: 0px;
	right: 0px;
	}
	.tooltiptext {
	/avoid the button to overlap on some docstring/
	padding-right: 30px;
	}
	.ipython_tooltip {
	max-width: 700px;
	/fade-in animation when inserted/
	-webkit-animation: fadeOut 400ms;
	-moz-animation: fadeOut 400ms;
	animation: fadeOut 400ms;
	-webkit-animation: fadeIn 400ms;
	-moz-animation: fadeIn 400ms;
	animation: fadeIn 400ms;
	vertical-align: middle;
	background-color: #f7f7f7;
	overflow: visible;
	border: #ababab 1px solid;
	outline: none;
	padding: 3px;
	margin: 0px;
	padding-left: 7px;
	font-family: monospace;
	min-height: 50px;
	-moz-box-shadow: 0px 6px 10px -1px #adadad;
	-webkit-box-shadow: 0px 6px 10px -1px #adadad;
	box-shadow: 0px 6px 10px -1px #adadad;
	border-radius: 2px;
	position: absolute;
	z-index: 1000;
	}
	.ipython_tooltip a {
	float: right;
	}
	.ipython_tooltip .tooltiptext pre {
	border: 0;
	border-radius: 0;
	font-size: 100%;
	background-color: #f7f7f7;
	}
	.pretooltiparrow {
	left: 0px;
	margin: 0px;
	top: -16px;
	width: 40px;
	height: 16px;
	overflow: hidden;
	position: absolute;
	}
	.pretooltiparrow:before {
	background-color: #f7f7f7;
	border: 1px #ababab solid;
	z-index: 11;
	content: "";
	position: absolute;
	left: 15px;
	top: 10px;
	width: 25px;
	height: 25px;
	-webkit-transform: rotate(45deg);
	-moz-transform: rotate(45deg);
	-ms-transform: rotate(45deg);
	-o-transform: rotate(45deg);
	}
	ul.typeahead-list i {
	margin-left: -10px;
	width: 18px;
	}
	[dir="rtl"] ul.typeahead-list i {
	margin-left: 0;
	margin-right: -10px;
	}
	ul.typeahead-list {
	max-height: 80vh;
	overflow: auto;
	}
	ul.typeahead-list > li > a {
	/ Firefox bug /
	/* see https://github.com/jupyter/notebook/issues/559 */
	white-space: normal;
	}
	ul.typeahead-list > li > a.pull-right {
	float: left !important;
	float: left;
	}
	[dir="rtl"] .typeahead-list {
	text-align: right;
	}
	.cmd-palette .modal-body {
	padding: 7px;
	}
	.cmd-palette form {
	background: white;
	}
	.cmd-palette input {
	outline: none;
	}
	.no-shortcut {
	min-width: 20px;
	color: transparent;
	}
	[dir="rtl"] .no-shortcut.pull-right {
	float: left !important;
	float: left;
	}
	[dir="rtl"] .command-shortcut.pull-right {
	float: left !important;
	float: left;
	}
	.command-shortcut:before {
	content: "(command mode)";
	padding-right: 3px;
	color: #777777;
	}
	.edit-shortcut:before {
	content: "(edit)";
	padding-right: 3px;
	color: #777777;
	}
	[dir="rtl"] .edit-shortcut.pull-right {
	float: left !important;
	float: left;
	}
	#find-and-replace #replace-preview .match,
	#find-and-replace #replace-preview .insert {
	background-color: #BBDEFB;
	border-color: #90CAF9;
	border-style: solid;
	border-width: 1px;
	border-radius: 0px;
	}
	[dir="ltr"] #find-and-replace .input-group-btn + .form-control {
	border-left: none;
	}
	[dir="rtl"] #find-and-replace .input-group-btn + .form-control {
	border-right: none;
	}
	#find-and-replace #replace-preview .replace .match {
	background-color: #FFCDD2;
	border-color: #EF9A9A;
	border-radius: 0px;
	}
	#find-and-replace #replace-preview .replace .insert {
	background-color: #C8E6C9;
	border-color: #A5D6A7;
	border-radius: 0px;
	}
	#find-and-replace #replace-preview {
	max-height: 60vh;
	overflow: auto;
	}
	#find-and-replace #replace-preview pre {
	padding: 5px 10px;
	}
	.terminal-app {
	background: #EEE;
	}
	.terminal-app #header {
	background: #fff;
	-webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
	box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
	}
	.terminal-app .terminal {
	width: 100%;
	float: left;
	font-family: monospace;
	color: white;
	background: black;
	padding: 0.4em;
	border-radius: 2px;
	-webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.4);
	box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.4);
	}
	.terminal-app .terminal,
	.terminal-app .terminal dummy-screen {
	line-height: 1em;
	font-size: 14px;
	}
	.terminal-app .terminal .xterm-rows {
	padding: 10px;
	}
	.terminal-app .terminal-cursor {
	color: black;
	background: white;
	}
	.terminal-app #terminado-container {
	margin-top: 20px;
	}
	/# sourceMappingURL=style.min.css.map /
	</style>
	<style type="text/css">
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	.highlight { background: #f8f8f8; }
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	.highlight .k { color: #008000; font-weight: bold } /* Keyword */
	.highlight .o { color: #666666 } /* Operator */
	.highlight .ch { color: #408080; font-style: italic } /* Comment.Hashbang */
	.highlight .cm { color: #408080; font-style: italic } /* Comment.Multiline */
	.highlight .cp { color: #BC7A00 } /* Comment.Preproc */
	.highlight .cpf { color: #408080; font-style: italic } /* Comment.PreprocFile */
	.highlight .c1 { color: #408080; font-style: italic } /* Comment.Single */
	.highlight .cs { color: #408080; font-style: italic } /* Comment.Special */
	.highlight .gd { color: #A00000 } /* Generic.Deleted */
	.highlight .ge { font-style: italic } /* Generic.Emph */
	.highlight .gr { color: #FF0000 } /* Generic.Error */
	.highlight .gh { color: #000080; font-weight: bold } /* Generic.Heading */
	.highlight .gi { color: #00A000 } /* Generic.Inserted */
	.highlight .go { color: #888888 } /* Generic.Output */
	.highlight .gp { color: #000080; font-weight: bold } /* Generic.Prompt */
	.highlight .gs { font-weight: bold } /* Generic.Strong */
	.highlight .gu { color: #800080; font-weight: bold } /* Generic.Subheading */
	.highlight .gt { color: #0044DD } /* Generic.Traceback */
	.highlight .kc { color: #008000; font-weight: bold } /* Keyword.Constant */
	.highlight .kd { color: #008000; font-weight: bold } /* Keyword.Declaration */
	.highlight .kn { color: #008000; font-weight: bold } /* Keyword.Namespace */
	.highlight .kp { color: #008000 } /* Keyword.Pseudo */
	.highlight .kr { color: #008000; font-weight: bold } /* Keyword.Reserved */
	.highlight .kt { color: #B00040 } /* Keyword.Type */
	.highlight .m { color: #666666 } /* Literal.Number */
	.highlight .s { color: #BA2121 } /* Literal.String */
	.highlight .na { color: #7D9029 } /* Name.Attribute */
	.highlight .nb { color: #008000 } /* Name.Builtin */
	.highlight .nc { color: #0000FF; font-weight: bold } /* Name.Class */
	.highlight .no { color: #880000 } /* Name.Constant */
	.highlight .nd { color: #AA22FF } /* Name.Decorator */
	.highlight .ni { color: #999999; font-weight: bold } /* Name.Entity */
	.highlight .ne { color: #D2413A; font-weight: bold } /* Name.Exception */
	.highlight .nf { color: #0000FF } /* Name.Function */
	.highlight .nl { color: #A0A000 } /* Name.Label */
	.highlight .nn { color: #0000FF; font-weight: bold } /* Name.Namespace */
	.highlight .nt { color: #008000; font-weight: bold } /* Name.Tag */
	.highlight .nv { color: #19177C } /* Name.Variable */
	.highlight .ow { color: #AA22FF; font-weight: bold } /* Operator.Word */
	.highlight .w { color: #bbbbbb } /* Text.Whitespace */
	.highlight .mb { color: #666666 } /* Literal.Number.Bin */
	.highlight .mf { color: #666666 } /* Literal.Number.Float */
	.highlight .mh { color: #666666 } /* Literal.Number.Hex */
	.highlight .mi { color: #666666 } /* Literal.Number.Integer */
	.highlight .mo { color: #666666 } /* Literal.Number.Oct */
	.highlight .sa { color: #BA2121 } /* Literal.String.Affix */
	.highlight .sb { color: #BA2121 } /* Literal.String.Backtick */
	.highlight .sc { color: #BA2121 } /* Literal.String.Char */
	.highlight .dl { color: #BA2121 } /* Literal.String.Delimiter */
	.highlight .sd { color: #BA2121; font-style: italic } /* Literal.String.Doc */
	.highlight .s2 { color: #BA2121 } /* Literal.String.Double */
	.highlight .se { color: #BB6622; font-weight: bold } /* Literal.String.Escape */
	.highlight .sh { color: #BA2121 } /* Literal.String.Heredoc */
	.highlight .si { color: #BB6688; font-weight: bold } /* Literal.String.Interpol */
	.highlight .sx { color: #008000 } /* Literal.String.Other */
	.highlight .sr { color: #BB6688 } /* Literal.String.Regex */
	.highlight .s1 { color: #BA2121 } /* Literal.String.Single */
	.highlight .ss { color: #19177C } /* Literal.String.Symbol */
	.highlight .bp { color: #008000 } /* Name.Builtin.Pseudo */
	.highlight .fm { color: #0000FF } /* Name.Function.Magic */
	.highlight .vc { color: #19177C } /* Name.Variable.Class */
	.highlight .vg { color: #19177C } /* Name.Variable.Global */
	.highlight .vi { color: #19177C } /* Name.Variable.Instance */
	.highlight .vm { color: #19177C } /* Name.Variable.Magic */
	.highlight .il { color: #666666 } /* Literal.Number.Integer.Long */
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	<style type="text/css">

	/* Temporary definitions which will become obsolete with Notebook release 5.0 */
	.ansi-black-fg { color: #3E424D; }
	.ansi-black-bg { background-color: #3E424D; }
	.ansi-black-intense-fg { color: #282C36; }
	.ansi-black-intense-bg { background-color: #282C36; }
	.ansi-red-fg { color: #E75C58; }
	.ansi-red-bg { background-color: #E75C58; }
	.ansi-red-intense-fg { color: #B22B31; }
	.ansi-red-intense-bg { background-color: #B22B31; }
	.ansi-green-fg { color: #00A250; }
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	.ansi-green-intense-fg { color: #007427; }
	.ansi-green-intense-bg { background-color: #007427; }
	.ansi-yellow-fg { color: #DDB62B; }
	.ansi-yellow-bg { background-color: #DDB62B; }
	.ansi-yellow-intense-fg { color: #B27D12; }
	.ansi-yellow-intense-bg { background-color: #B27D12; }
	.ansi-blue-fg { color: #208FFB; }
	.ansi-blue-bg { background-color: #208FFB; }
	.ansi-blue-intense-fg { color: #0065CA; }
	.ansi-blue-intense-bg { background-color: #0065CA; }
	.ansi-magenta-fg { color: #D160C4; }
	.ansi-magenta-bg { background-color: #D160C4; }
	.ansi-magenta-intense-fg { color: #A03196; }
	.ansi-magenta-intense-bg { background-color: #A03196; }
	.ansi-cyan-fg { color: #60C6C8; }
	.ansi-cyan-bg { background-color: #60C6C8; }
	.ansi-cyan-intense-fg { color: #258F8F; }
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	.ansi-white-intense-fg { color: #A1A6B2; }
	.ansi-white-intense-bg { background-color: #A1A6B2; }

	.ansi-bold { font-weight: bold; }

	</style>


	<style type="text/css">
	/* Overrides of notebook CSS for static HTML export */
	body {
	overflow: visible;
	padding: 8px;
	}

	div#notebook {
	overflow: visible;
	border-top: none;
	}@media print {
	div.cell {
	display: block;
	page-break-inside: avoid;
	}
	div.output_wrapper {
	display: block;
	page-break-inside: avoid;
	}
	div.output {
	display: block;
	page-break-inside: avoid;
	}
	}
	</style>

	<!-- Custom stylesheet, it must be in the same directory as the html file -->
	<link rel="stylesheet" href="custom.css">

	<!-- Loading mathjax macro -->
	<!-- Load mathjax -->
	<script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.1/MathJax.js?config=TeX-AMS_HTML"></script>
	<!-- MathJax configuration -->
	<script type="text/x-mathjax-config">
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	tex2jax: {
	inlineMath: [ ['$','$'], ["\$","\$"] ],
	displayMath: [ ['$$','$$'], ["\\[","\\]"] ],
	processEscapes: true,
	processEnvironments: true
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	// Center justify equations in code and markdown cells. Elsewhere
	// we use CSS to left justify single line equations in code cells.
	displayAlign: 'center',
	"HTML-CSS": {
	styles: {'.MathJax_Display': {"margin": 0}},
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	<body>
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	<div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
	</div><div class="inner_cell">
	<div class="text_cell_render border-box-sizing rendered_html">
	<p>Rafael Gonçalves (RA: 186062)</p>

	</div>
	</div>
	</div>
	<div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
	</div><div class="inner_cell">
	<div class="text_cell_render border-box-sizing rendered_html">
	<h2 id="Importa-bibliotecas">Importa bibliotecas<a class="anchor-link" href="#Importa-bibliotecas">¶</a></h2>
	</div>
	</div>
	</div>
	<div class="cell border-box-sizing code_cell rendered">
	<div class="input">
	<div class="prompt input_prompt">In [1]:</div>
	<div class="inner_cell">
	<div class="input_area">
	<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">os</span>
	<span class="kn">import</span> <span class="nn">urllib.request</span>
	<span class="kn">import</span> <span class="nn">random</span>
	<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
	<span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
	<span class="kn">import</span> <span class="nn">csv</span>
	<span class="o">%</span><span class="k">matplotlib</span> inline
	</pre></div>

	</div>
	</div>
	</div>

	</div>
	<div class="cell border-box-sizing code_cell rendered">
	<div class="input">
	<div class="prompt input_prompt">In [2]:</div>
	<div class="inner_cell">
	<div class="input_area">
	<div class=" highlight hl-ipython3"><pre><span></span><span class="n">random</span><span class="o">.</span><span class="n">seed</span> <span class="o">=</span> <span class="mi">0</span>
	<span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">seed</span> <span class="o">=</span> <span class="mi">0</span>
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	<h1 id="1---Classificação-Binária">1 - Classificação Binária<a class="anchor-link" href="#1---Classificação-Binária">¶</a></h1>
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	<h2 id="Download-dataset">Download dataset<a class="anchor-link" href="#Download-dataset">¶</a></h2>
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	<div class=" highlight hl-ipython3"><pre><span></span><span class="n">data_url</span> <span class="o">=</span> <span class="s1">'http://www.dca.fee.unicamp.br/~lboccato/two_moons.csv'</span>
	<span class="n">data_dir</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">abspath</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">relpath</span><span class="p">(</span><span class="s1">'../data'</span><span class="p">))</span>
	<span class="n">data_path</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">data_dir</span><span class="p">,</span> <span class="s1">'two_moons.csv'</span><span class="p">)</span>
	<span class="n">image_dir</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">abspath</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">relpath</span><span class="p">(</span><span class="s1">'../doc/images'</span><span class="p">))</span>

	<span class="n">urllib</span><span class="o">.</span><span class="n">request</span><span class="o">.</span><span class="n">urlretrieve</span><span class="p">(</span><span class="n">data_url</span><span class="p">,</span> <span class="n">data_path</span><span class="p">)</span>
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	<pre>('/home/rafael/inbox/machine-learning/2-linear-classification-and-knn/data/two_moons.csv',
	<http.client.HTTPMessage at 0x7fa0f6f8c2e8>)</pre>
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	<div class=" highlight hl-ipython3"><pre><span></span>%%bash
	head <span class="s2">"../data/two_moons.csv"</span>
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	<pre>,x_1,x_2,y
	0,2.0644296514467197,0.546069086070731,1.0
	1,1.762473261484448,-0.06268920285178106,1.0
	2,-0.24548972654900278,1.068868024796405,0.0
	3,-0.17463045222800389,0.18388168037297553,1.0
	4,0.4521100769674068,-0.40651213749666293,1.0
	5,1.9396117132053508,0.43090598314745787,1.0
	6,0.898613370647941,0.8226576504874641,0.0
	7,0.052218958530233006,1.3636857785600163,0.0
	8,-0.6284662881051902,1.1413048711192604,0.0
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	<h2 id="Importa-dataset">Importa dataset<a class="anchor-link" href="#Importa-dataset">¶</a></h2>
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	<div class=" highlight hl-ipython3"><pre><span></span><span class="n">dataset</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">loadtxt</span><span class="p">(</span><span class="n">data_path</span><span class="p">,</span> <span class="n">skiprows</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">usecols</span><span class="o">=</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span><span class="mi">2</span><span class="p">,</span><span class="mi">3</span><span class="p">),</span> <span class="n">delimiter</span><span class="o">=</span><span class="s1">','</span><span class="p">)</span>
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	<pre>(1000, 3)</pre>
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	<div class=" highlight hl-ipython3"><pre><span></span><span class="n">X</span> <span class="o">=</span> <span class="n">dataset</span><span class="p">[:,</span><span class="mi">0</span><span class="p">:</span><span class="mi">2</span><span class="p">]</span>
	<span class="n">y</span> <span class="o">=</span> <span class="n">dataset</span><span class="p">[:,</span><span class="mi">2</span><span class="p">]</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="nb">int</span><span class="p">)</span>
	<span class="n">y</span> <span class="o">=</span> <span class="n">y</span><span class="o">.</span><span class="n">reshape</span><span class="p">((</span><span class="n">y</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="mi">1</span><span class="p">))</span>
	<span class="n">X</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span> <span class="n">y</span><span class="o">.</span><span class="n">shape</span>
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	<pre>((1000, 2), (1000, 1))</pre>
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	<div class=" highlight hl-ipython3"><pre><span></span><span class="n">Phi</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">column_stack</span><span class="p">((</span><span class="n">np</span><span class="o">.</span><span class="n">ones</span><span class="p">(</span><span class="n">X</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]),</span> <span class="n">X</span><span class="p">))</span>
	<span class="n">Phi</span><span class="o">.</span><span class="n">shape</span>
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	<pre>(1000, 3)</pre>
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	<div class=" highlight hl-ipython3"><pre><span></span><span class="n">mask1</span> <span class="o">=</span> <span class="p">[</span><span class="n">i</span> <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">e</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">y</span><span class="p">)</span> <span class="k">if</span> <span class="n">e</span><span class="p">]</span>
	<span class="n">mask0</span> <span class="o">=</span> <span class="p">[</span><span class="n">i</span> <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">e</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">y</span><span class="p">)</span> <span class="k">if</span> <span class="ow">not</span> <span class="n">e</span><span class="p">]</span>
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	<div class=" highlight hl-ipython3"><pre><span></span><span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">X</span><span class="p">[</span><span class="n">mask1</span><span class="p">,</span> <span class="mi">0</span><span class="p">],</span> <span class="n">X</span><span class="p">[</span><span class="n">mask1</span><span class="p">,</span><span class="mi">1</span><span class="p">],</span> <span class="s1">'X'</span><span class="p">)</span>
	<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">X</span><span class="p">[</span><span class="n">mask0</span><span class="p">,</span> <span class="mi">0</span><span class="p">],</span> <span class="n">X</span><span class="p">[</span><span class="n">mask0</span><span class="p">,</span> <span class="mi">1</span><span class="p">],</span> <span class="s1">'o'</span><span class="p">)</span>
	<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s1">'x0'</span><span class="p">),</span> <span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s1">'x1'</span><span class="p">)</span>
	<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s2">"Distribuição dos dados"</span><span class="p">)</span>
	<span class="n">plt</span><span class="o">.</span><span class="n">legend</span><span class="p">([</span><span class="s1">'y=1'</span><span class="p">,</span> <span class="s1">'y=0'</span><span class="p">])</span>
	<span class="n">plt</span><span class="o">.</span><span class="n">savefig</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">image_dir</span><span class="p">,</span> <span class="s1">'data.png'</span><span class="p">),</span> <span class="n">bbox_inches</span><span class="o">=</span><span class="s1">'tight'</span><span class="p">)</span>
	<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
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	<p>A distribuição de dados acima não pode ser completamente separada por modelos lineares (não há hiperplano que separe completamente os dados das duas classes). Entretanto não há grande mistura entre os elementos de cada classe, o que indica que provavelmente existem modelos capazes de separar os dados com uma taxa de erro nula, ou muito pequena.</p>

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	<h2 id="Discriminante-linear-de-Fischer-(LDA)">Discriminante linear de Fischer (LDA)<a class="anchor-link" href="#Discriminante-linear-de-Fischer-(LDA)">¶</a></h2>
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	<div class="prompt input_prompt">In [11]:</div>
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	<div class=" highlight hl-ipython3"><pre><span></span><span class="n">y_hat</span> <span class="o">=</span> <span class="k">lambda</span> <span class="n">w</span><span class="p">,</span> <span class="n">X</span><span class="p">:</span> <span class="n">np</span><span class="o">.</span><span class="n">dot</span><span class="p">(</span><span class="n">X</span><span class="p">,</span> <span class="n">w</span><span class="p">)</span>
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	<div class="prompt input_prompt">In [12]:</div>
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	<div class=" highlight hl-ipython3"><pre><span></span><span class="n">Sw</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">zeros</span><span class="p">((</span><span class="mi">2</span><span class="p">,</span><span class="mi">2</span><span class="p">))</span>
	<span class="n">mu1</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">X</span><span class="p">[</span><span class="n">mask1</span><span class="p">],</span> <span class="mi">0</span><span class="p">)</span>
	<span class="n">mu0</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">X</span><span class="p">[</span><span class="n">mask0</span><span class="p">],</span> <span class="mi">0</span><span class="p">)</span>

	<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="n">mask0</span><span class="p">:</span>
	<span class="n">Sw</span> <span class="o">+=</span> <span class="n">np</span><span class="o">.</span><span class="n">dot</span><span class="p">((</span><span class="n">X</span><span class="p">[</span><span class="n">i</span><span class="p">]</span><span class="o">.</span><span class="n">reshape</span><span class="p">((</span><span class="mi">2</span><span class="p">,</span><span class="mi">1</span><span class="p">))</span> <span class="o">-</span> <span class="n">mu0</span><span class="o">.</span><span class="n">reshape</span><span class="p">((</span><span class="mi">1</span><span class="p">,</span><span class="mi">2</span><span class="p">))),((</span><span class="n">X</span><span class="p">[</span><span class="n">i</span><span class="p">]</span><span class="o">.</span><span class="n">reshape</span><span class="p">((</span><span class="mi">2</span><span class="p">,</span><span class="mi">1</span><span class="p">))</span> <span class="o">-</span> <span class="n">mu0</span><span class="o">.</span><span class="n">reshape</span><span class="p">((</span><span class="mi">1</span><span class="p">,</span><span class="mi">2</span><span class="p">))))</span><span class="o">.</span><span class="n">T</span><span class="p">)</span>
	<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="n">mask1</span><span class="p">:</span>
	<span class="n">Sw</span> <span class="o">+=</span> <span class="n">np</span><span class="o">.</span><span class="n">dot</span><span class="p">((</span><span class="n">X</span><span class="p">[</span><span class="n">i</span><span class="p">]</span><span class="o">.</span><span class="n">reshape</span><span class="p">((</span><span class="mi">2</span><span class="p">,</span><span class="mi">1</span><span class="p">))</span> <span class="o">-</span> <span class="n">mu1</span><span class="o">.</span><span class="n">reshape</span><span class="p">((</span><span class="mi">1</span><span class="p">,</span><span class="mi">2</span><span class="p">))),((</span><span class="n">X</span><span class="p">[</span><span class="n">i</span><span class="p">]</span><span class="o">.</span><span class="n">reshape</span><span class="p">((</span><span class="mi">2</span><span class="p">,</span><span class="mi">1</span><span class="p">))</span> <span class="o">-</span> <span class="n">mu1</span><span class="o">.</span><span class="n">reshape</span><span class="p">((</span><span class="mi">1</span><span class="p">,</span><span class="mi">2</span><span class="p">))))</span><span class="o">.</span><span class="n">T</span><span class="p">)</span>
	<span class="n">Sw</span>
	</pre></div>

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	<pre>array([[ 2.23939149e+03, -5.36498142e-02],
	[-5.36498142e-02, 1.43394973e+03]])</pre>
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	<div class="prompt input_prompt">In [13]:</div>
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	<div class=" highlight hl-ipython3"><pre><span></span><span class="n">Sb</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">dot</span><span class="p">((</span><span class="n">mu1</span> <span class="o">-</span> <span class="n">mu0</span><span class="p">),(</span><span class="n">mu1</span> <span class="o">-</span> <span class="n">mu0</span><span class="p">)</span><span class="o">.</span><span class="n">T</span><span class="p">)</span>
	<span class="n">Sb</span>
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	<pre>2.4003468221575144</pre>
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	<div class="prompt input_prompt">In [14]:</div>
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	<div class=" highlight hl-ipython3"><pre><span></span><span class="n">J</span> <span class="o">=</span> <span class="k">lambda</span> <span class="n">w</span><span class="p">:</span> <span class="n">np</span><span class="o">.</span><span class="n">dot</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">dot</span><span class="p">(</span><span class="n">w</span><span class="o">.</span><span class="n">T</span><span class="p">,</span> <span class="n">Sb</span><span class="p">),</span> <span class="n">w</span><span class="p">)</span><span class="o">/</span><span class="n">np</span><span class="o">.</span><span class="n">dot</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">dot</span><span class="p">(</span><span class="n">w</span><span class="o">.</span><span class="n">T</span><span class="p">,</span> <span class="n">Sw</span><span class="p">),</span> <span class="n">w</span><span class="p">)</span>
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	<div class="prompt input_prompt">In [15]:</div>
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	<div class=" highlight hl-ipython3"><pre><span></span><span class="n">w</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">dot</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">linalg</span><span class="o">.</span><span class="n">inv</span><span class="p">(</span><span class="n">Sw</span><span class="p">),(</span><span class="n">mu1</span> <span class="o">-</span> <span class="n">mu0</span><span class="p">))</span>
	<span class="n">w</span> <span class="o">=</span> <span class="n">w</span><span class="o">/</span><span class="n">np</span><span class="o">.</span><span class="n">linalg</span><span class="o">.</span><span class="n">norm</span><span class="p">(</span><span class="n">w</span><span class="p">)</span>
	<span class="n">w</span>
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	<pre>array([ 0.48042956, -0.87703332])</pre>
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	<div class="prompt input_prompt">In [16]:</div>
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	<div class=" highlight hl-ipython3"><pre><span></span><span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">X</span><span class="p">[</span><span class="n">mask1</span><span class="p">,</span> <span class="mi">0</span><span class="p">],</span> <span class="n">X</span><span class="p">[</span><span class="n">mask1</span><span class="p">,</span><span class="mi">1</span><span class="p">],</span> <span class="s1">'X'</span><span class="p">,</span> <span class="n">zorder</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
	<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">X</span><span class="p">[</span><span class="n">mask0</span><span class="p">,</span> <span class="mi">0</span><span class="p">],</span> <span class="n">X</span><span class="p">[</span><span class="n">mask0</span><span class="p">,</span> <span class="mi">1</span><span class="p">],</span> <span class="s1">'o'</span><span class="p">,</span> <span class="n">zorder</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>


	<span class="n">origin</span> <span class="o">=</span> <span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="c1"># origin point</span>
	<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s1">'x0'</span><span class="p">),</span> <span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s1">'x1'</span><span class="p">)</span>
	<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s2">"Direção de projeção"</span><span class="p">)</span>
	<span class="n">plt</span><span class="o">.</span><span class="n">quiver</span><span class="p">(</span><span class="o">*</span><span class="n">origin</span><span class="p">,</span> <span class="n">w</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">w</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span> <span class="n">width</span><span class="o">=</span><span class="mf">0.006</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s1">'black'</span><span class="p">,</span> <span class="n">zorder</span><span class="o">=</span><span class="mi">3</span><span class="p">)</span>

	<span class="n">plt</span><span class="o">.</span><span class="n">legend</span><span class="p">([</span><span class="s1">'y=1'</span><span class="p">,</span> <span class="s1">'y=0'</span><span class="p">,</span> <span class="s1">'w'</span><span class="p">])</span>
	<span class="n">plt</span><span class="o">.</span><span class="n">savefig</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">image_dir</span><span class="p">,</span> <span class="s1">'proj.png'</span><span class="p">),</span> <span class="n">bbox_inches</span><span class="o">=</span><span class="s1">'tight'</span><span class="p">)</span>
	<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
	</pre></div>

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
	"
	>
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	<h3 id="Projeção-em-w">Projeção em w<a class="anchor-link" href="#Projeção-em-w">¶</a></h3>
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	<div class="prompt input_prompt">In [17]:</div>
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	<div class=" highlight hl-ipython3"><pre><span></span><span class="n">mu</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="n">np</span><span class="o">.</span><span class="n">average</span><span class="p">(</span><span class="n">X</span><span class="p">[:,</span><span class="mi">0</span><span class="p">]),</span> <span class="n">np</span><span class="o">.</span><span class="n">average</span><span class="p">(</span><span class="n">X</span><span class="p">[:,</span><span class="mi">1</span><span class="p">])])</span>
	<span class="n">delta</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([(</span><span class="n">np</span><span class="o">.</span><span class="n">max</span><span class="p">(</span><span class="n">X</span><span class="p">[:,</span><span class="mi">0</span><span class="p">])</span> <span class="o">-</span> <span class="n">np</span><span class="o">.</span><span class="n">min</span><span class="p">(</span><span class="n">X</span><span class="p">[:,</span><span class="mi">0</span><span class="p">])),</span> <span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">max</span><span class="p">(</span><span class="n">X</span><span class="p">[:,</span><span class="mi">1</span><span class="p">])</span> <span class="o">-</span> <span class="n">np</span><span class="o">.</span><span class="n">min</span><span class="p">(</span><span class="n">X</span><span class="p">[:,</span><span class="mi">1</span><span class="p">]))])</span>

	<span class="n">X</span> <span class="o">=</span> <span class="p">(</span><span class="n">X</span> <span class="o">-</span> <span class="n">np</span><span class="o">.</span><span class="n">ones</span><span class="p">([</span><span class="n">X</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span><span class="mi">1</span><span class="p">])</span><span class="o"></span><span class="n">mu</span><span class="p">)</span><span class="o"></span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">ones</span><span class="p">([</span><span class="n">X</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span><span class="mi">1</span><span class="p">])</span><span class="o">*</span><span class="p">(</span><span class="mi">1</span><span class="o">/</span><span class="n">delta</span><span class="p">))</span>
	</pre></div>

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	<div class="prompt input_prompt">In [18]:</div>
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	<div class=" highlight hl-ipython3"><pre><span></span><span class="n">lda</span> <span class="o">=</span> <span class="k">lambda</span> <span class="n">X</span><span class="p">,</span> <span class="n">w</span><span class="p">:</span> <span class="n">np</span><span class="o">.</span><span class="n">dot</span><span class="p">(</span><span class="n">X</span><span class="p">,</span> <span class="n">w</span><span class="p">)</span>
	</pre></div>

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	<div class="prompt input_prompt">In [19]:</div>
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	<div class="input_area">
	<div class=" highlight hl-ipython3"><pre><span></span><span class="n">out</span> <span class="o">=</span> <span class="n">lda</span><span class="p">(</span><span class="n">X</span><span class="p">,</span> <span class="n">w</span><span class="p">)</span>
	<span class="n">plt</span><span class="o">.</span><span class="n">stem</span><span class="p">(</span><span class="n">out</span><span class="p">[</span><span class="n">mask1</span><span class="p">],</span> <span class="n">basefmt</span><span class="o">=</span><span class="s1">'.'</span><span class="p">,</span> <span class="n">linefmt</span><span class="o">=</span><span class="s1">'C0.'</span><span class="p">,</span> <span class="n">markerfmt</span><span class="o">=</span><span class="s1">'C0X'</span><span class="p">)</span>
	<span class="n">plt</span><span class="o">.</span><span class="n">stem</span><span class="p">(</span><span class="n">out</span><span class="p">[</span><span class="n">mask0</span><span class="p">],</span> <span class="n">basefmt</span><span class="o">=</span><span class="s1">'.'</span><span class="p">,</span> <span class="n">linefmt</span><span class="o">=</span><span class="s1">'C1.'</span><span class="p">,</span> <span class="n">markerfmt</span><span class="o">=</span><span class="s1">'C1o'</span><span class="p">)</span>
	<span class="n">plt</span><span class="o">.</span><span class="n">savefig</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">image_dir</span><span class="p">,</span> <span class="s1">'stem_proj.png'</span><span class="p">),</span> <span class="n">bbox_inches</span><span class="o">=</span><span class="s1">'tight'</span><span class="p">)</span>
	<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
	</pre></div>

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	<div class="prompt input_prompt">In [20]:</div>
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	<div class=" highlight hl-ipython3"><pre><span></span><span class="n">plt</span><span class="o">.</span><span class="n">hist</span><span class="p">([</span><span class="n">out</span><span class="p">[</span><span class="n">mask1</span><span class="p">],</span> <span class="n">out</span><span class="p">[</span><span class="n">mask0</span><span class="p">]],</span> <span class="n">bins</span><span class="o">=</span><span class="mi">30</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="p">[</span><span class="s1">'C0'</span><span class="p">,</span> <span class="s1">'C1'</span><span class="p">])</span>
	<span class="n">plt</span><span class="o">.</span><span class="n">savefig</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">image_dir</span><span class="p">,</span> <span class="s1">'hist.png'</span><span class="p">),</span> <span class="n">bbox_inches</span><span class="o">=</span><span class="s1">'tight'</span><span class="p">)</span>
	<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
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KJSh6XPbSuO9Tmc5GTgdJbuQzQNet2WI8nrWfrQfl1VfW9MtQ3DoPGdBrwcuL2bQL0Q2JvkjVW1f2xVTsA4llz2Agvd8QKwZ4U+dwJnJDm27noJMC33VR84vqp6S1XNVtUcS8sun9gsYd7DwPF1t364maVx7R5jbevV57YVy8d9NfD5mp5NGwPHl+Qi4M+BN1bVtFyAcMwzjq+qnqiqs6tqrvue+xJL42w6zAGoqpF+sbTuuA+4D/gccGZ3fh746LJ+lwH3AF8GPg6cMuraxjm+Zf3fBnxk0nUPc3zAW4H/Be5e9nXhpGsfMK43AF9jaa3/3d25P2TpGx/gVOBvgPuBfwZ+bNI1D3l8nwMeWfb3tXfSNQ9zfMf1vZ2lK3omXveov9wpKkmNcKeoJDXCQJekRhjoktQIA12SGmGgS1IjDHRJaoSBLkmNMNAlqRH/D2adx6l/1eYRAAAAAElFTkSuQmCC
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	<p>Como previsto, os dados não podem ser totalmente separados. Na direção projetada, há uma mistura dos dados entre os valores -0.2, 0.2, mas a maior parte dos dados se encontra fora desta região de intersecção.</p>

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	<h3 id="Curva-ROC">Curva ROC<a class="anchor-link" href="#Curva-ROC">¶</a></h3>
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	<div class="prompt input_prompt">In [21]:</div>
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	<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">decision</span><span class="p">(</span><span class="n">X</span><span class="p">,</span> <span class="n">w</span><span class="p">,</span> <span class="n">thres</span><span class="p">,</span> <span class="n">model</span><span class="p">):</span>
	<span class="n">out</span> <span class="o">=</span> <span class="n">model</span><span class="p">(</span><span class="n">X</span><span class="p">,</span> <span class="n">w</span><span class="p">)</span>
	<span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="mi">1</span> <span class="k">if</span> <span class="n">e</span> <span class="o">></span> <span class="n">thres</span> <span class="k">else</span> <span class="mi">0</span> <span class="k">for</span> <span class="n">e</span> <span class="ow">in</span> <span class="n">out</span><span class="p">])</span>
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	<div class="prompt input_prompt">In [22]:</div>
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	<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">confusion</span><span class="p">(</span><span class="n">out</span><span class="p">,</span> <span class="n">y</span><span class="p">):</span>
	<span class="n">tp</span> <span class="o">=</span> <span class="n">fp</span> <span class="o">=</span> <span class="n">tn</span> <span class="o">=</span> <span class="n">fn</span> <span class="o">=</span> <span class="mi">0</span>
	<span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">e</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">out</span><span class="p">):</span>
	<span class="k">if</span> <span class="n">e</span><span class="p">:</span>
	<span class="k">if</span> <span class="n">y</span><span class="p">[</span><span class="n">i</span><span class="p">]:</span>
	<span class="n">tp</span> <span class="o">+=</span> <span class="mi">1</span>
	<span class="k">else</span><span class="p">:</span>
	<span class="n">fp</span> <span class="o">+=</span> <span class="mi">1</span>
	<span class="k">else</span><span class="p">:</span>
	<span class="k">if</span> <span class="n">y</span><span class="p">[</span><span class="n">i</span><span class="p">]:</span>
	<span class="n">fn</span> <span class="o">+=</span> <span class="mi">1</span>
	<span class="k">else</span><span class="p">:</span>
	<span class="n">tn</span> <span class="o">+=</span> <span class="mi">1</span>
	<span class="k">return</span> <span class="n">tp</span><span class="p">,</span> <span class="n">fp</span><span class="p">,</span> <span class="n">fn</span><span class="p">,</span> <span class="n">tn</span>
	</pre></div>

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	<div class="prompt input_prompt">In [23]:</div>
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	<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">roc_curve</span><span class="p">(</span><span class="n">X</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="n">w</span><span class="p">,</span> <span class="n">thres_v</span><span class="p">,</span> <span class="n">model</span><span class="p">):</span>
	<span class="n">roc</span> <span class="o">=</span> <span class="p">[]</span>
	<span class="n">f1_v</span> <span class="o">=</span> <span class="p">[]</span>
	<span class="k">for</span> <span class="n">t</span> <span class="ow">in</span> <span class="n">thres_v</span><span class="p">:</span>
	<span class="n">out</span> <span class="o">=</span> <span class="n">decision</span><span class="p">(</span><span class="n">X</span><span class="p">,</span> <span class="n">w</span><span class="p">,</span> <span class="n">t</span><span class="p">,</span> <span class="n">model</span><span class="p">)</span>
	<span class="n">tp</span><span class="p">,</span> <span class="n">fp</span><span class="p">,</span> <span class="n">fn</span><span class="p">,</span> <span class="n">tn</span> <span class="o">=</span> <span class="n">confusion</span><span class="p">(</span><span class="n">out</span><span class="p">,</span> <span class="n">y</span><span class="p">)</span>
	<span class="n">tpr</span> <span class="o">=</span> <span class="n">tp</span><span class="o">/</span><span class="p">(</span><span class="n">tp</span><span class="o">+</span><span class="n">fn</span><span class="p">)</span>
	<span class="n">fpr</span> <span class="o">=</span> <span class="n">fp</span><span class="o">/</span><span class="p">(</span><span class="n">fp</span><span class="o">+</span><span class="n">tn</span><span class="p">)</span>
	<span class="n">f1</span> <span class="o">=</span> <span class="mi">2</span><span class="o"></span><span class="n">tp</span><span class="o">/</span><span class="p">(</span><span class="mi">2</span><span class="o"></span><span class="n">tp</span> <span class="o">+</span> <span class="n">fn</span> <span class="o">+</span> <span class="n">fp</span><span class="p">)</span>
	<span class="n">f1_v</span><span class="o">.</span><span class="n">append</span><span class="p">([</span><span class="n">t</span><span class="p">,</span> <span class="n">f1</span><span class="p">])</span>
	<span class="n">roc</span><span class="o">.</span><span class="n">append</span><span class="p">([</span><span class="n">fpr</span><span class="p">,</span> <span class="n">tpr</span><span class="p">])</span>
	<span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">roc</span><span class="p">),</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">f1_v</span><span class="p">)</span>
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	<div class="prompt input_prompt">In [24]:</div>
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	<div class=" highlight hl-ipython3"><pre><span></span><span class="n">thres_v</span> <span class="o">=</span> <span class="p">[</span><span class="mf">0.01</span><span class="o">*</span><span class="n">e</span> <span class="k">for</span> <span class="n">e</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="o">-</span><span class="mi">200</span><span class="p">,</span> <span class="mi">201</span><span class="p">)]</span>
	<span class="n">roc</span><span class="p">,</span> <span class="n">f1</span> <span class="o">=</span> <span class="n">roc_curve</span><span class="p">(</span><span class="n">X</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="n">w</span><span class="p">,</span> <span class="n">thres_v</span><span class="p">,</span> <span class="n">lda</span><span class="p">)</span>
	<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">roc</span><span class="p">[:,</span><span class="mi">0</span><span class="p">],</span> <span class="n">roc</span><span class="p">[:,</span><span class="mi">1</span><span class="p">],</span> <span class="s1">'C0-'</span><span class="p">)</span>
	<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">([</span><span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">],</span> <span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">],</span><span class="s1">'r--'</span><span class="p">)</span>
	<span class="n">plt</span><span class="o">.</span><span class="n">xlim</span><span class="p">([</span><span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">])</span>
	<span class="n">plt</span><span class="o">.</span><span class="n">ylim</span><span class="p">([</span><span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">])</span>
	<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s2">"ROC curve"</span><span class="p">)</span>
	<span class="n">plt</span><span class="o">.</span><span class="n">legend</span><span class="p">([</span><span class="s2">"ROC"</span><span class="p">,</span> <span class="s2">"tpr=fpr"</span><span class="p">])</span>
	<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s1">'True Positive Rate'</span><span class="p">)</span>
	<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s1">'False Positive Rate'</span><span class="p">)</span>
	<span class="n">plt</span><span class="o">.</span><span class="n">savefig</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">image_dir</span><span class="p">,</span> <span class="s1">'roc.png'</span><span class="p">),</span> <span class="n">bbox_inches</span><span class="o">=</span><span class="s1">'tight'</span><span class="p">)</span>
	<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
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	<h3 id="F1-score">F1 score<a class="anchor-link" href="#F1-score">¶</a></h3>
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	<div class="prompt input_prompt">In [25]:</div>
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	<div class=" highlight hl-ipython3"><pre><span></span><span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">f1</span><span class="p">[:,</span><span class="mi">0</span><span class="p">],</span> <span class="n">f1</span><span class="p">[:,</span><span class="mi">1</span><span class="p">],</span> <span class="s1">'C0-'</span><span class="p">)</span>
	<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s2">"F1 score x threshold value"</span><span class="p">)</span>
	<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s1">'F1 Score'</span><span class="p">)</span>
	<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s1">'Threshold'</span><span class="p">)</span>
	<span class="n">plt</span><span class="o">.</span><span class="n">savefig</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">image_dir</span><span class="p">,</span> <span class="s1">'f1.png'</span><span class="p">),</span> <span class="n">bbox_inches</span><span class="o">=</span><span class="s1">'tight'</span><span class="p">)</span>
	<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
	<span class="nb">print</span><span class="p">(</span><span class="s2">"Threshold with highest f1-score: </span><span class="si">{}</span><span class="s2">, (</span><span class="si">{:.4f}</span><span class="s2">)"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">f1</span><span class="p">[</span><span class="n">np</span><span class="o">.</span><span class="n">argmax</span><span class="p">(</span><span class="n">f1</span><span class="p">[:,</span><span class="mi">1</span><span class="p">]),</span> <span class="mi">0</span><span class="p">],</span> <span class="n">f1</span><span class="p">[</span><span class="n">np</span><span class="o">.</span><span class="n">argmax</span><span class="p">(</span><span class="n">f1</span><span class="p">[:,</span><span class="mi">1</span><span class="p">]),</span> <span class="mi">1</span><span class="p">]))</span>
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	<pre>Threshold with highest f1-score: -0.07, (0.9289)
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	<p>Podemos perceber que para valores do threshold bastante próximos de zero o modelo tem a melhor f1-medida, com o valor ótimo sendo threshold de -0.07 (f1-medida de 0.9289).</p>

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	<h2 id="Regressão-Logística">Regressão Logística<a class="anchor-link" href="#Regressão-Logística">¶</a></h2>
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	<div class="prompt input_prompt">In [26]:</div>
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	<div class=" highlight hl-ipython3"><pre><span></span><span class="n">g</span> <span class="o">=</span> <span class="k">lambda</span> <span class="n">z</span><span class="p">:</span> <span class="mi">1</span><span class="o">/</span><span class="p">(</span><span class="mi">1</span> <span class="o">+</span> <span class="n">np</span><span class="o">.</span><span class="n">exp</span><span class="p">(</span><span class="o">-</span><span class="n">z</span><span class="p">))</span>
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	<div class="prompt input_prompt">In [27]:</div>
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	<div class=" highlight hl-ipython3"><pre><span></span><span class="n">lr</span> <span class="o">=</span> <span class="k">lambda</span> <span class="n">Phi</span><span class="p">,</span> <span class="n">w</span><span class="p">:</span> <span class="n">g</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">dot</span><span class="p">(</span><span class="n">Phi</span><span class="p">,</span> <span class="n">w</span><span class="p">))</span>
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	<div class="prompt input_prompt">In [28]:</div>
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	<div class=" highlight hl-ipython3"><pre><span></span><span class="n">mmq</span> <span class="o">=</span> <span class="k">lambda</span> <span class="n">Phi</span><span class="p">,</span> <span class="n">y</span><span class="p">:</span> <span class="n">np</span><span class="o">.</span><span class="n">dot</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">dot</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">linalg</span><span class="o">.</span><span class="n">inv</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">dot</span><span class="p">(</span><span class="n">Phi</span><span class="o">.</span><span class="n">T</span><span class="p">,</span> <span class="n">Phi</span><span class="p">)),</span> <span class="n">Phi</span><span class="o">.</span><span class="n">T</span><span class="p">),</span> <span class="n">y</span><span class="p">)</span>
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	<div class="prompt input_prompt">In [29]:</div>
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	<div class=" highlight hl-ipython3"><pre><span></span><span class="n">w</span> <span class="o">=</span> <span class="n">mmq</span><span class="p">(</span><span class="n">Phi</span><span class="p">,</span> <span class="n">y</span><span class="p">)</span>
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	<div class="prompt input_prompt">In [30]:</div>
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	<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">J</span><span class="p">(</span><span class="n">y_hat</span><span class="p">,</span> <span class="n">y</span><span class="p">):</span>
	<span class="n">J</span> <span class="o">=</span> <span class="mi">0</span>
	<span class="k">for</span> <span class="n">e</span><span class="p">,</span> <span class="n">f</span> <span class="ow">in</span> <span class="nb">zip</span><span class="p">(</span><span class="n">y</span><span class="p">,</span> <span class="n">y_hat</span><span class="p">):</span>
	<span class="n">J</span> <span class="o">+=</span> <span class="n">e</span><span class="o"></span><span class="n">np</span><span class="o">.</span><span class="n">log10</span><span class="p">(</span><span class="n">f</span><span class="p">)</span> <span class="o">+</span> <span class="p">(</span><span class="mi">1</span><span class="o">-</span><span class="n">e</span><span class="p">)</span><span class="o"></span><span class="n">np</span><span class="o">.</span><span class="n">log10</span><span class="p">(</span><span class="mi">1</span><span class="o">-</span><span class="n">f</span><span class="p">)</span>
	<span class="k">return</span> <span class="p">(</span><span class="o">-</span><span class="n">J</span><span class="o">/</span><span class="n">y</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">])[</span><span class="mi">0</span><span class="p">]</span>
	</pre></div>

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	<div class="prompt input_prompt">In [31]:</div>
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	<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">gradient_descent_step</span><span class="p">(</span><span class="n">Phi</span><span class="p">,</span> <span class="n">y_hat</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="n">w</span><span class="p">,</span> <span class="n">alpha</span><span class="p">):</span>
	<span class="n">grad</span> <span class="o">=</span> <span class="o">-</span><span class="n">np</span><span class="o">.</span><span class="n">dot</span><span class="p">((</span><span class="n">y</span> <span class="o">-</span> <span class="n">y_hat</span><span class="p">)</span><span class="o">.</span><span class="n">T</span><span class="p">,</span> <span class="n">Phi</span><span class="p">)</span><span class="o">/</span><span class="n">y_hat</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
	<span class="n">grad</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">sum</span><span class="p">(</span><span class="n">grad</span><span class="p">,</span> <span class="mi">0</span><span class="p">)</span><span class="o">/</span><span class="n">y_hat</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
	<span class="n">grad</span> <span class="o">=</span> <span class="n">grad</span><span class="o">.</span><span class="n">reshape</span><span class="p">((</span><span class="n">grad</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="mi">1</span><span class="p">))</span>
	<span class="k">return</span> <span class="n">w</span> <span class="o">-</span> <span class="n">alpha</span><span class="o">*</span><span class="n">grad</span>
	</pre></div>

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	<div class="cell border-box-sizing code_cell rendered">
	<div class="input">
	<div class="prompt input_prompt">In [32]:</div>
	<div class="inner_cell">
	<div class="input_area">
	<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">gradient_descent</span><span class="p">(</span><span class="n">Phi</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="n">w</span><span class="p">,</span> <span class="n">alpha</span><span class="p">,</span> <span class="n">epochs</span><span class="p">,</span> <span class="n">early_stop_param</span><span class="p">,</span> <span class="n">v</span><span class="o">=</span><span class="mi">0</span><span class="p">):</span>
	<span class="n">epoch</span> <span class="o">=</span> <span class="n">count</span> <span class="o">=</span> <span class="mi">0</span>
	<span class="n">min_error</span> <span class="o">=</span> <span class="mi">999</span>
	<span class="k">while</span> <span class="n">epoch</span> <span class="o"><</span> <span class="n">epochs</span> <span class="ow">and</span> <span class="n">count</span> <span class="o"><</span> <span class="n">early_stop_param</span><span class="p">:</span>
	<span class="n">y_hat</span> <span class="o">=</span> <span class="n">lr</span><span class="p">(</span><span class="n">Phi</span><span class="p">,</span> <span class="n">w</span><span class="p">)</span>
	<span class="n">error</span> <span class="o">=</span> <span class="n">J</span><span class="p">(</span><span class="n">y_hat</span><span class="p">,</span> <span class="n">y</span><span class="p">)</span>
	<span class="n">w</span> <span class="o">=</span> <span class="n">gradient_descent_step</span><span class="p">(</span><span class="n">Phi</span><span class="p">,</span> <span class="n">y_hat</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="n">w</span><span class="p">,</span> <span class="n">alpha</span><span class="p">)</span>
	<span class="k">if</span> <span class="n">error</span> <span class="o"><</span> <span class="n">min_error</span><span class="p">:</span>
	<span class="n">min_error</span> <span class="o">=</span> <span class="n">error</span>
	<span class="n">count</span> <span class="o">=</span> <span class="mi">0</span>
	<span class="k">else</span><span class="p">:</span>
	<span class="n">count</span> <span class="o">+=</span> <span class="mi">1</span>
	<span class="k">if</span> <span class="n">v</span><span class="p">:</span>
	<span class="nb">print</span><span class="p">(</span><span class="s1">'.'</span><span class="p">,</span> <span class="n">end</span><span class="o">=</span><span class="s1">''</span><span class="p">)</span>
	<span class="n">epoch</span> <span class="o">+=</span> <span class="mi">1</span>

	<span class="k">return</span> <span class="n">w</span>
	</pre></div>

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	<div class="cell border-box-sizing code_cell rendered">
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	<div class="prompt input_prompt">In [33]:</div>
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	<div class=" highlight hl-ipython3"><pre><span></span><span class="n">w</span> <span class="o">=</span> <span class="mf">0.1</span><span class="o">*</span><span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">random</span><span class="p">([</span><span class="mi">3</span><span class="p">])</span>
	<span class="n">w</span> <span class="o">=</span> <span class="n">w</span><span class="o">.</span><span class="n">reshape</span><span class="p">((</span><span class="n">w</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="mi">1</span><span class="p">))</span>
	</pre></div>

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	</div>

	</div>
	<div class="cell border-box-sizing code_cell rendered">
	<div class="input">
	<div class="prompt input_prompt">In [34]:</div>
	<div class="inner_cell">
	<div class="input_area">
	<div class=" highlight hl-ipython3"><pre><span></span><span class="n">w</span> <span class="o">=</span> <span class="n">gradient_descent</span><span class="p">(</span><span class="n">Phi</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="n">w</span><span class="p">,</span> <span class="mi">5</span><span class="p">,</span> <span class="mi">5000</span><span class="p">,</span> <span class="mi">10</span><span class="p">,</span> <span class="mi">0</span><span class="p">)</span>
	</pre></div>

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	<div class="cell border-box-sizing code_cell rendered">
	<div class="input">
	<div class="prompt input_prompt">In [35]:</div>
	<div class="inner_cell">
	<div class="input_area">
	<div class=" highlight hl-ipython3"><pre><span></span><span class="n">w</span>
	</pre></div>

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	<div class="prompt output_prompt">Out[35]:</div>




	<div class="output_text output_subarea output_execute_result">
	<pre>array([[ 0.38061173],
	[ 1.18011046],
	[-2.55554986]])</pre>
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	<div class="cell border-box-sizing code_cell rendered">
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	<div class="prompt input_prompt">In [36]:</div>
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	<div class=" highlight hl-ipython3"><pre><span></span><span class="n">thres_v</span> <span class="o">=</span> <span class="p">[</span><span class="mf">0.001</span><span class="o">*</span><span class="n">e</span> <span class="k">for</span> <span class="n">e</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span><span class="mi">1001</span><span class="p">,</span> <span class="mi">5</span><span class="p">)]</span>
	<span class="n">roc</span><span class="p">,</span> <span class="n">f1</span> <span class="o">=</span> <span class="n">roc_curve</span><span class="p">(</span><span class="n">Phi</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="n">w</span><span class="p">,</span> <span class="n">thres_v</span><span class="p">,</span> <span class="n">lr</span><span class="p">)</span>
	<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">roc</span><span class="p">[:,</span><span class="mi">0</span><span class="p">],</span> <span class="n">roc</span><span class="p">[:,</span><span class="mi">1</span><span class="p">],</span> <span class="s1">'C0-'</span><span class="p">)</span>
	<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">([</span><span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">],</span> <span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">],</span><span class="s1">'r--'</span><span class="p">)</span>
	<span class="n">plt</span><span class="o">.</span><span class="n">xlim</span><span class="p">([</span><span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">])</span>
	<span class="n">plt</span><span class="o">.</span><span class="n">ylim</span><span class="p">([</span><span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">])</span>
	<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s2">"ROC curve"</span><span class="p">)</span>
	<span class="n">plt</span><span class="o">.</span><span class="n">legend</span><span class="p">([</span><span class="s2">"ROC"</span><span class="p">,</span> <span class="s2">"tpr=fpr"</span><span class="p">])</span>
	<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s1">'True Positive Rate'</span><span class="p">)</span>
	<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s1">'False Positive Rate'</span><span class="p">)</span>
	<span class="n">plt</span><span class="o">.</span><span class="n">savefig</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">image_dir</span><span class="p">,</span> <span class="s1">'roc_lr.png'</span><span class="p">),</span> <span class="n">bbox_inches</span><span class="o">=</span><span class="s1">'tight'</span><span class="p">)</span>
	<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
	</pre></div>

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	<div class="prompt input_prompt">In [37]:</div>
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	<div class=" highlight hl-ipython3"><pre><span></span><span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">f1</span><span class="p">[:,</span><span class="mi">0</span><span class="p">],</span> <span class="n">f1</span><span class="p">[:,</span><span class="mi">1</span><span class="p">],</span> <span class="s1">'C0-'</span><span class="p">)</span>
	<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s2">"F1 score x threshold value"</span><span class="p">)</span>
	<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s1">'F1 Score'</span><span class="p">)</span>
	<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s1">'Threshold'</span><span class="p">)</span>
	<span class="n">plt</span><span class="o">.</span><span class="n">savefig</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">image_dir</span><span class="p">,</span> <span class="s1">'f1_lr.png'</span><span class="p">),</span> <span class="n">bbox_inches</span><span class="o">=</span><span class="s1">'tight'</span><span class="p">)</span>
	<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
	<span class="nb">print</span><span class="p">(</span><span class="s2">"Threshold with highest f1-score: </span><span class="si">{:.4f}</span><span class="s2">, (</span><span class="si">{:.4f}</span><span class="s2">)"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">f1</span><span class="p">[</span><span class="n">np</span><span class="o">.</span><span class="n">argmax</span><span class="p">(</span><span class="n">f1</span><span class="p">[:,</span><span class="mi">1</span><span class="p">]),</span> <span class="mi">0</span><span class="p">],</span> <span class="n">f1</span><span class="p">[</span><span class="n">np</span><span class="o">.</span><span class="n">argmax</span><span class="p">(</span><span class="n">f1</span><span class="p">[:,</span><span class="mi">1</span><span class="p">]),</span> <span class="mi">1</span><span class="p">]))</span>
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	<pre>Threshold with highest f1-score: 0.3250, (0.9254)
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	<p>Podemos perceber que em comparação com o LDA, o modelo de regressão logística possue uma quantidade bem maior de valores de threshold com valores semelhantes de f1-medida, com o valor ótimo sendo threshold de 0.345 (f1-medida de 0.9245). Isto provavelmente se da por conta da função sigmoidal que acaba por concentrar os dados nas extremidades (perto de 0 ou 1) por seu formato (crescimento rápido em torno de 0.5 e saturação em 0 e 1).</p>
	<p>Ambos os modelos obtiveram valores próximos para a f1-medida, dado que o modelo LDA tem solução fechada (exige menor capacidade computacional), ele parece ser uma boa opção de modelo para a resolução deste problema.</p>

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	<h1 id="2---Classificação-multi-classe">2 - Classificação multi-classe<a class="anchor-link" href="#2---Classificação-multi-classe">¶</a></h1>
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	<h2 id="Download-dataset">Download dataset<a class="anchor-link" href="#Download-dataset">¶</a></h2>
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	<div class=" highlight hl-ipython3"><pre><span></span><span class="n">data_url</span> <span class="o">=</span> <span class="s1">'http://www.dca.fee.unicamp.br/~lboccato/dataset_vehicle.csv'</span>
	<span class="n">data_path</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">data_dir</span><span class="p">,</span> <span class="s1">'dataset_vehicle.csv'</span><span class="p">)</span>

	<span class="n">urllib</span><span class="o">.</span><span class="n">request</span><span class="o">.</span><span class="n">urlretrieve</span><span class="p">(</span><span class="n">data_url</span><span class="p">,</span> <span class="n">data_path</span><span class="p">)</span>
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	<pre>('/home/rafael/inbox/machine-learning/2-linear-classification-and-knn/data/dataset_vehicle.csv',
	<http.client.HTTPMessage at 0x7fa0f41f8cc0>)</pre>
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	<div class=" highlight hl-ipython3"><pre><span></span>%%bash
	head <span class="s2">"../data/dataset_vehicle.csv"</span>
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	<pre>"COMPACTNESS","CIRCULARITY","DISTANCE_CIRCULARITY","RADIUS_RATIO","PR.AXIS_ASPECT_RATIO","MAX.LENGTH_ASPECT_RATIO","SCATTER_RATIO","ELONGATEDNESS","PR.AXIS_RECTANGULARITY","MAX.LENGTH_RECTANGULARITY","SCALED_VARIANCE_MAJOR","SCALED_VARIANCE_MINOR","SCALED_RADIUS_OF_GYRATION","SKEWNESS_ABOUT_MAJOR","SKEWNESS_ABOUT_MINOR","KURTOSIS_ABOUT_MAJOR","KURTOSIS_ABOUT_MINOR","HOLLOWS_RATIO","Class"
	95,48,83,178,72,10,162,42,20,159,176,379,184,70,6,16,187,197,van
	91,41,84,141,57,9,149,45,19,143,170,330,158,72,9,14,189,199,van
	104,50,106,209,66,10,207,32,23,158,223,635,220,73,14,9,188,196,saab
	93,41,82,159,63,9,144,46,19,143,160,309,127,63,6,10,199,207,van
	85,44,70,205,103,52,149,45,19,144,241,325,188,127,9,11,180,183,bus
	107,57,106,172,50,6,255,26,28,169,280,957,264,85,5,9,181,183,bus
	97,43,73,173,65,6,153,42,19,143,176,361,172,66,13,1,200,204,bus
	90,43,66,157,65,9,137,48,18,146,162,281,164,67,3,3,193,202,van
	86,34,62,140,61,7,122,54,17,127,141,223,112,64,2,14,200,208,van
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	<h2 id="Importa-dataset">Importa dataset<a class="anchor-link" href="#Importa-dataset">¶</a></h2>
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	<div class="prompt input_prompt">In [40]:</div>
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	<div class=" highlight hl-ipython3"><pre><span></span><span class="n">X</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">loadtxt</span><span class="p">(</span><span class="n">data_path</span><span class="p">,</span> <span class="n">skiprows</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">usecols</span><span class="o">=</span><span class="nb">range</span><span class="p">(</span><span class="mi">18</span><span class="p">),</span> <span class="n">delimiter</span><span class="o">=</span><span class="s1">','</span><span class="p">)</span>
	<span class="n">X</span><span class="o">.</span><span class="n">shape</span>
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	<pre>(846, 18)</pre>
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	<div class=" highlight hl-ipython3"><pre><span></span><span class="n">y</span> <span class="o">=</span> <span class="p">[]</span>
	<span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="n">data_path</span><span class="p">)</span> <span class="k">as</span> <span class="n">csvfile</span><span class="p">:</span>
	<span class="n">reader</span> <span class="o">=</span> <span class="n">csv</span><span class="o">.</span><span class="n">DictReader</span><span class="p">(</span><span class="n">csvfile</span><span class="p">)</span>
	<span class="k">for</span> <span class="n">row</span> <span class="ow">in</span> <span class="n">reader</span><span class="p">:</span>
	<span class="n">y</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">row</span><span class="p">[</span><span class="s1">'Class'</span><span class="p">])</span>
	<span class="nb">len</span><span class="p">(</span><span class="n">y</span><span class="p">)</span>
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	<pre>846</pre>
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	<div class=" highlight hl-ipython3"><pre><span></span><span class="n">classes</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="nb">set</span><span class="p">(</span><span class="n">y</span><span class="p">))</span>
	<span class="n">classes</span>
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	<pre>['opel', 'van', 'saab', 'bus']</pre>
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	<div class=" highlight hl-ipython3"><pre><span></span><span class="n">Y</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">zeros</span><span class="p">((</span><span class="nb">len</span><span class="p">(</span><span class="n">y</span><span class="p">),</span> <span class="nb">len</span><span class="p">(</span><span class="n">classes</span><span class="p">)))</span>
	<span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">e</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">y</span><span class="p">):</span>
	<span class="k">if</span> <span class="n">e</span> <span class="o">==</span> <span class="n">classes</span><span class="p">[</span><span class="mi">0</span><span class="p">]:</span>
	<span class="n">Y</span><span class="p">[</span><span class="n">i</span><span class="p">,</span><span class="mi">0</span><span class="p">]</span> <span class="o">=</span> <span class="mi">1</span>
	<span class="k">elif</span> <span class="n">e</span> <span class="o">==</span> <span class="n">classes</span><span class="p">[</span><span class="mi">1</span><span class="p">]:</span>
	<span class="n">Y</span><span class="p">[</span><span class="n">i</span><span class="p">,</span><span class="mi">1</span><span class="p">]</span> <span class="o">=</span> <span class="mi">1</span>
	<span class="k">elif</span> <span class="n">e</span> <span class="o">==</span> <span class="n">classes</span><span class="p">[</span><span class="mi">2</span><span class="p">]:</span>
	<span class="n">Y</span><span class="p">[</span><span class="n">i</span><span class="p">,</span><span class="mi">2</span><span class="p">]</span> <span class="o">=</span> <span class="mi">1</span>
	<span class="k">else</span><span class="p">:</span>
	<span class="n">Y</span><span class="p">[</span><span class="n">i</span><span class="p">,</span><span class="mi">3</span><span class="p">]</span> <span class="o">=</span> <span class="mi">1</span>
	<span class="n">Y</span><span class="o">.</span><span class="n">shape</span>
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	<pre>(846, 4)</pre>
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	<div class=" highlight hl-ipython3"><pre><span></span><span class="n">holdout_n</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="mf">0.3</span><span class="o">*</span><span class="nb">len</span><span class="p">(</span><span class="n">y</span><span class="p">))</span>
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	<div class=" highlight hl-ipython3"><pre><span></span><span class="n">mu</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="n">np</span><span class="o">.</span><span class="n">average</span><span class="p">(</span><span class="n">X</span><span class="p">[:,</span><span class="n">i</span><span class="p">])</span> <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">X</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">])])</span>
	<span class="n">delta</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([(</span><span class="n">np</span><span class="o">.</span><span class="n">max</span><span class="p">(</span><span class="n">X</span><span class="p">[:,</span><span class="n">i</span><span class="p">])</span> <span class="o">-</span> <span class="n">np</span><span class="o">.</span><span class="n">min</span><span class="p">(</span><span class="n">X</span><span class="p">[:,</span><span class="n">i</span><span class="p">]))</span> <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">X</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">])])</span>

	<span class="n">X</span> <span class="o">=</span> <span class="p">(</span><span class="n">X</span> <span class="o">-</span> <span class="n">np</span><span class="o">.</span><span class="n">ones</span><span class="p">([</span><span class="n">X</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span><span class="mi">1</span><span class="p">])</span><span class="o"></span><span class="n">mu</span><span class="p">)</span><span class="o"></span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">ones</span><span class="p">([</span><span class="n">X</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span><span class="mi">1</span><span class="p">])</span><span class="o">*</span><span class="p">(</span><span class="mi">1</span><span class="o">/</span><span class="n">delta</span><span class="p">))</span>
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	<div class=" highlight hl-ipython3"><pre><span></span><span class="n">X_test</span> <span class="o">=</span> <span class="n">X</span><span class="p">[:</span><span class="n">holdout_n</span><span class="p">,</span> <span class="p">:]</span>
	<span class="n">X_train</span> <span class="o">=</span> <span class="n">X</span><span class="p">[</span><span class="n">holdout_n</span><span class="p">:,:]</span>
	<span class="n">Y_test</span> <span class="o">=</span> <span class="n">Y</span><span class="p">[:</span><span class="n">holdout_n</span><span class="p">,</span> <span class="p">:]</span>
	<span class="n">Y_train</span> <span class="o">=</span> <span class="n">Y</span><span class="p">[</span><span class="n">holdout_n</span><span class="p">:,:]</span>
	<span class="n">X_train</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span> <span class="n">X_test</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span> <span class="n">Y_train</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span> <span class="n">Y_test</span><span class="o">.</span><span class="n">shape</span>
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	<pre>((593, 18), (253, 18), (593, 4), (253, 4))</pre>
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	<div class=" highlight hl-ipython3"><pre><span></span><span class="n">Phi_train</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">column_stack</span><span class="p">((</span><span class="n">np</span><span class="o">.</span><span class="n">ones</span><span class="p">(</span><span class="n">X_train</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]),</span> <span class="n">X_train</span><span class="p">))</span>
	<span class="n">Phi_test</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">column_stack</span><span class="p">((</span><span class="n">np</span><span class="o">.</span><span class="n">ones</span><span class="p">(</span><span class="n">X_test</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]),</span> <span class="n">X_test</span><span class="p">))</span>
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	<h2 id="Regressão-Logística">Regressão Logística<a class="anchor-link" href="#Regressão-Logística">¶</a></h2>
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	<div class=" highlight hl-ipython3"><pre><span></span><span class="n">Q</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="n">classes</span><span class="p">)</span>
	<span class="n">W</span> <span class="o">=</span> <span class="mf">0.01</span><span class="o"></span><span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">random</span><span class="p">(((</span><span class="n">Q</span><span class="o"></span><span class="p">(</span><span class="n">Q</span><span class="o">-</span><span class="mi">1</span><span class="p">))</span><span class="o">//</span><span class="mi">2</span><span class="p">,</span> <span class="n">Phi_test</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">]))</span>
	<span class="n">W</span><span class="o">.</span><span class="n">shape</span>
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	<pre>(6, 19)</pre>
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	<div class=" highlight hl-ipython3"><pre><span></span><span class="n">k</span> <span class="o">=</span> <span class="mi">0</span>
	<span class="n">mask</span> <span class="o">=</span> <span class="p">[[]]</span><span class="o">*</span><span class="n">W</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
	<span class="n">aux</span> <span class="o">=</span> <span class="p">[]</span>
	<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">Q</span><span class="o">-</span><span class="mi">1</span><span class="p">):</span>
	<span class="k">for</span> <span class="n">j</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">i</span><span class="o">+</span><span class="mi">1</span><span class="p">,</span> <span class="n">Q</span><span class="p">):</span>
	<span class="n">mask</span><span class="p">[</span><span class="n">k</span><span class="p">]</span> <span class="o">=</span> <span class="p">[</span><span class="n">l</span> <span class="k">for</span> <span class="n">l</span><span class="p">,</span> <span class="p">(</span><span class="n">e</span><span class="p">,</span> <span class="n">f</span><span class="p">)</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="nb">zip</span><span class="p">(</span><span class="n">Y_train</span><span class="p">[:,</span><span class="n">i</span><span class="p">],</span><span class="n">Y_train</span><span class="p">[:,</span><span class="n">j</span><span class="p">]))</span> <span class="k">if</span> <span class="p">(</span><span class="n">e</span> <span class="ow">or</span> <span class="n">f</span><span class="p">)]</span>
	<span class="n">k</span> <span class="o">+=</span> <span class="mi">1</span>
	<span class="n">aux</span><span class="o">.</span><span class="n">append</span><span class="p">((</span><span class="n">i</span><span class="p">,</span> <span class="n">j</span><span class="p">))</span>
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	<div class=" highlight hl-ipython3"><pre><span></span><span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">m</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">mask</span><span class="p">):</span>
	<span class="n">w</span> <span class="o">=</span> <span class="n">W</span><span class="p">[</span><span class="n">i</span><span class="p">]</span><span class="o">.</span><span class="n">reshape</span><span class="p">((</span><span class="n">W</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span> <span class="mi">1</span><span class="p">))</span>
	<span class="n">y</span> <span class="o">=</span> <span class="n">Y_train</span><span class="p">[</span><span class="n">m</span><span class="p">,</span><span class="n">aux</span><span class="p">[</span><span class="n">i</span><span class="p">][</span><span class="mi">0</span><span class="p">]]</span><span class="o">.</span><span class="n">reshape</span><span class="p">((</span><span class="n">Y_train</span><span class="p">[</span><span class="n">m</span><span class="p">]</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="mi">1</span><span class="p">))</span>
	<span class="n">X</span> <span class="o">=</span> <span class="n">Phi_train</span><span class="p">[</span><span class="n">m</span><span class="p">,:]</span>
	<span class="n">grad</span> <span class="o">=</span> <span class="n">gradient_descent</span><span class="p">(</span><span class="n">X</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="n">w</span><span class="p">,</span> <span class="mi">1000</span><span class="p">,</span> <span class="mi">5000</span><span class="p">,</span> <span class="mi">5</span><span class="p">)[:,</span><span class="mi">0</span><span class="p">]</span>
	<span class="n">W</span><span class="p">[</span><span class="n">i</span><span class="p">]</span> <span class="o">=</span> <span class="n">grad</span><span class="p">[:]</span>
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	<div class="prompt input_prompt">In [51]:</div>
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	<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">one_vs_one</span><span class="p">(</span><span class="n">Phi</span><span class="p">,</span> <span class="n">W</span><span class="p">):</span>
	<span class="n">votes</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">zeros</span><span class="p">((</span><span class="n">Phi</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="mi">4</span><span class="p">))</span>
	<span class="n">ans</span> <span class="o">=</span> <span class="p">[]</span>

	<span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">a</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">aux</span><span class="p">):</span>
	<span class="n">w</span> <span class="o">=</span> <span class="n">W</span><span class="p">[</span><span class="n">i</span><span class="p">]</span><span class="o">.</span><span class="n">reshape</span><span class="p">((</span><span class="n">W</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span> <span class="mi">1</span><span class="p">))</span>
	<span class="n">X</span> <span class="o">=</span> <span class="n">Phi</span>
	<span class="n">y</span> <span class="o">=</span> <span class="n">lr</span><span class="p">(</span><span class="n">X</span><span class="p">,</span> <span class="n">w</span><span class="p">)</span>
	<span class="k">for</span> <span class="n">j</span><span class="p">,</span> <span class="n">e</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">y</span><span class="p">):</span>
	<span class="n">votes</span><span class="p">[</span><span class="n">j</span><span class="p">,</span> <span class="n">a</span><span class="p">[</span><span class="mi">0</span><span class="p">]]</span> <span class="o">+=</span> <span class="n">e</span>
	<span class="n">votes</span><span class="p">[</span><span class="n">j</span><span class="p">,</span> <span class="n">a</span><span class="p">[</span><span class="mi">1</span><span class="p">]]</span> <span class="o">+=</span> <span class="mi">1</span><span class="o">-</span><span class="n">e</span>
	<span class="k">for</span> <span class="n">e</span> <span class="ow">in</span> <span class="n">votes</span><span class="p">:</span>
	<span class="n">ans</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">argmax</span><span class="p">(</span><span class="n">e</span><span class="p">))</span>
	<span class="k">return</span> <span class="n">ans</span>
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	<div class="prompt input_prompt">In [52]:</div>
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	<div class=" highlight hl-ipython3"><pre><span></span><span class="n">y_hat</span> <span class="o">=</span> <span class="n">one_vs_one</span><span class="p">(</span><span class="n">Phi_test</span><span class="p">,</span> <span class="n">W</span><span class="p">)</span>
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	<div class="prompt input_prompt">In [53]:</div>
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	<div class=" highlight hl-ipython3"><pre><span></span><span class="n">Y_hat</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">zeros</span><span class="p">((</span><span class="nb">len</span><span class="p">(</span><span class="n">y</span><span class="p">),</span> <span class="nb">len</span><span class="p">(</span><span class="n">classes</span><span class="p">)))</span>
	<span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">e</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">y</span><span class="p">):</span>
	<span class="k">if</span> <span class="n">e</span> <span class="o">==</span> <span class="n">classes</span><span class="p">[</span><span class="mi">0</span><span class="p">]:</span>
	<span class="n">Y_hat</span><span class="p">[</span><span class="n">i</span><span class="p">,</span><span class="mi">0</span><span class="p">]</span> <span class="o">=</span> <span class="mi">1</span>
	<span class="k">elif</span> <span class="n">e</span> <span class="o">==</span> <span class="n">classes</span><span class="p">[</span><span class="mi">1</span><span class="p">]:</span>
	<span class="n">Y_hat</span><span class="p">[</span><span class="n">i</span><span class="p">,</span><span class="mi">1</span><span class="p">]</span> <span class="o">=</span> <span class="mi">1</span>
	<span class="k">elif</span> <span class="n">e</span> <span class="o">==</span> <span class="n">classes</span><span class="p">[</span><span class="mi">2</span><span class="p">]:</span>
	<span class="n">Y_hat</span><span class="p">[</span><span class="n">i</span><span class="p">,</span><span class="mi">2</span><span class="p">]</span> <span class="o">=</span> <span class="mi">1</span>
	<span class="k">else</span><span class="p">:</span>
	<span class="n">Y_hat</span><span class="p">[</span><span class="n">i</span><span class="p">,</span><span class="mi">3</span><span class="p">]</span> <span class="o">=</span> <span class="mi">1</span>
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	<pre>/usr/lib/python3.7/site-packages/ipykernel_launcher.py:3: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison
	This is separate from the ipykernel package so we can avoid doing imports until
	/usr/lib/python3.7/site-packages/ipykernel_launcher.py:5: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison
	"""
	/usr/lib/python3.7/site-packages/ipykernel_launcher.py:7: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison
	import sys
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	<div class=" highlight hl-ipython3"><pre><span></span><span class="n">y_test</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">argmax</span><span class="p">(</span><span class="n">Y_test</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span>
	<span class="n">np</span><span class="o">.</span><span class="n">sum</span><span class="p">((</span><span class="n">y_test</span> <span class="o">==</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">y_hat</span><span class="p">)))</span><span class="o">/</span><span class="n">y_test</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
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	<pre>0.8023715415019763</pre>
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	<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">confusion</span><span class="p">(</span><span class="n">y_hat</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="n">n_classes</span><span class="p">):</span>
	<span class="n">ans</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">zeros</span><span class="p">((</span><span class="n">n_classes</span><span class="p">,</span> <span class="n">n_classes</span><span class="p">))</span>
	<span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="p">(</span><span class="n">e</span><span class="p">,</span> <span class="n">f</span><span class="p">)</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="nb">zip</span><span class="p">(</span><span class="n">y</span><span class="p">,</span> <span class="n">y_hat</span><span class="p">)):</span>
	<span class="n">ans</span><span class="p">[</span><span class="nb">int</span><span class="p">(</span><span class="n">e</span><span class="p">)][</span><span class="nb">int</span><span class="p">(</span><span class="n">f</span><span class="p">)]</span> <span class="o">+=</span> <span class="mi">1</span>
	<span class="k">return</span> <span class="n">ans</span>
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	<div class=" highlight hl-ipython3"><pre><span></span><span class="nb">print</span><span class="p">(</span><span class="n">classes</span><span class="p">)</span>
	<span class="n">cm</span> <span class="o">=</span> <span class="n">confusion</span><span class="p">(</span><span class="n">y_hat</span><span class="p">,</span> <span class="n">y_test</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">classes</span><span class="p">))</span>
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	<pre>['opel', 'van', 'saab', 'bus']
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	<div class="prompt input_prompt">In [57]:</div>
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	<div class=" highlight hl-ipython3"><pre><span></span><span class="n">N</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="n">y_test</span><span class="p">)</span><span class="o">/</span><span class="mi">4</span>
	<span class="n">cax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">cm</span><span class="p">,</span> <span class="n">interpolation</span><span class="o">=</span><span class="s1">'nearest'</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="n">plt</span><span class="o">.</span><span class="n">cm</span><span class="o">.</span><span class="n">coolwarm</span><span class="p">,</span> <span class="n">vmin</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">vmax</span><span class="o">=</span><span class="n">N</span><span class="p">)</span>
	<span class="n">classNames</span> <span class="o">=</span> <span class="n">classes</span>
	<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s1">'Confusion Matrix'</span><span class="p">)</span>
	<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s1">'True label'</span><span class="p">)</span>
	<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s1">'Predicted label'</span><span class="p">)</span>
	<span class="n">tick_marks</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">classNames</span><span class="p">))</span>
	<span class="n">plt</span><span class="o">.</span><span class="n">xticks</span><span class="p">(</span><span class="n">tick_marks</span><span class="p">,</span> <span class="n">classNames</span><span class="p">,</span> <span class="n">rotation</span><span class="o">=</span><span class="mi">45</span><span class="p">)</span>
	<span class="n">plt</span><span class="o">.</span><span class="n">yticks</span><span class="p">(</span><span class="n">tick_marks</span><span class="p">,</span> <span class="n">classNames</span><span class="p">)</span>
	<span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">e</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">cm</span><span class="p">):</span>
	<span class="k">for</span> <span class="n">j</span><span class="p">,</span> <span class="n">f</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">e</span><span class="p">):</span>
	<span class="n">plt</span><span class="o">.</span><span class="n">text</span><span class="p">(</span><span class="n">j</span><span class="p">,</span><span class="n">i</span><span class="p">,</span> <span class="nb">str</span><span class="p">(</span><span class="nb">int</span><span class="p">(</span><span class="n">cm</span><span class="p">[</span><span class="n">i</span><span class="p">][</span><span class="n">j</span><span class="p">])))</span>
	<span class="n">plt</span><span class="o">.</span><span class="n">colorbar</span><span class="p">(</span><span class="n">cax</span><span class="p">)</span>
	<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
	<span class="nb">print</span><span class="p">(</span><span class="s2">"Average accuracy: </span><span class="si">{:.4f}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">sum</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">diag</span><span class="p">(</span><span class="n">cm</span><span class="p">))</span><span class="o">/</span><span class="n">np</span><span class="o">.</span><span class="n">sum</span><span class="p">(</span><span class="n">cm</span><span class="p">)))</span>
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
	"
	>
	</div>

	</div>

	<div class="output_area">

	<div class="prompt"></div>


	<div class="output_subarea output_stream output_stdout output_text">
	<pre>Average accuracy: 0.8024
	</pre>
	</div>
	</div>

	</div>
	</div>

	</div>
	<div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
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	<p>Como esperado, o modelo consegue classificar muito melhor os exemplos das classes 'van' e 'bus', pois provavelmente as características de entrada são mais discrepantes do que entre 'opel' e 'saab' (silhoueta de ônibus e van são mais únicas do que de do Opel e Saab).</p>

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	<h2 id="K-nearest-Neighbours">K-nearest Neighbours<a class="anchor-link" href="#K-nearest-Neighbours">¶</a></h2>
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	<div class=" highlight hl-ipython3"><pre><span></span><span class="n">d</span> <span class="o">=</span> <span class="k">lambda</span> <span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="n">p</span><span class="p">:</span> <span class="n">np</span><span class="o">.</span><span class="n">power</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">linalg</span><span class="o">.</span><span class="n">norm</span><span class="p">((</span><span class="n">x</span><span class="o">-</span><span class="n">y</span><span class="p">),</span> <span class="n">p</span><span class="p">),</span> <span class="mf">1.</span><span class="o">/</span><span class="n">p</span><span class="p">)</span>
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	<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">neighboors</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">X</span><span class="p">,</span> <span class="n">k</span><span class="p">):</span>
	<span class="n">dist</span> <span class="o">=</span> <span class="p">[]</span>
	<span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">e</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">X</span><span class="p">):</span>
	<span class="n">dist</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">d</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">e</span><span class="p">,</span> <span class="mi">2</span><span class="p">))</span>
	<span class="n">dist</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">dist</span><span class="p">)</span>
	<span class="n">ans</span> <span class="o">=</span> <span class="p">[[</span><span class="n">e</span><span class="p">,</span> <span class="n">f</span><span class="p">]</span> <span class="k">for</span> <span class="n">e</span><span class="p">,</span> <span class="n">f</span> <span class="ow">in</span> <span class="nb">zip</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">argsort</span><span class="p">(</span><span class="n">dist</span><span class="p">),</span> <span class="n">np</span><span class="o">.</span><span class="n">sort</span><span class="p">(</span><span class="n">dist</span><span class="p">))]</span>
	<span class="k">return</span> <span class="n">ans</span><span class="p">[:</span><span class="n">k</span><span class="p">]</span>
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	<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">knn</span><span class="p">(</span><span class="n">X_train</span><span class="p">,</span> <span class="n">Y_train</span><span class="p">,</span> <span class="n">x</span><span class="p">,</span> <span class="n">k</span><span class="p">):</span>
	<span class="n">X_prime</span> <span class="o">=</span> <span class="n">neighboors</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">X_train</span><span class="p">,</span> <span class="n">k</span><span class="p">)</span>
	<span class="n">mask</span> <span class="o">=</span> <span class="p">[</span><span class="n">n</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="k">for</span> <span class="n">n</span> <span class="ow">in</span> <span class="n">X_prime</span><span class="p">]</span>
	<span class="n">classes</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">sum</span><span class="p">(</span><span class="n">Y_train</span><span class="p">[</span><span class="n">mask</span><span class="p">],</span> <span class="mi">0</span><span class="p">)</span>
	<span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">argmax</span><span class="p">(</span><span class="n">classes</span><span class="p">)</span>
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	<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">knn_predict</span><span class="p">(</span><span class="n">X_train</span><span class="p">,</span> <span class="n">Y_train</span><span class="p">,</span> <span class="n">X_test</span><span class="p">,</span> <span class="n">k</span><span class="p">):</span>
	<span class="n">y_test</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">empty</span><span class="p">(</span><span class="n">X_test</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
	<span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">x</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">X_test</span><span class="p">):</span>
	<span class="n">y_test</span><span class="p">[</span><span class="n">i</span><span class="p">]</span> <span class="o">=</span> <span class="n">knn</span><span class="p">(</span><span class="n">X_train</span><span class="p">,</span> <span class="n">Y_train</span><span class="p">,</span> <span class="n">x</span><span class="p">,</span> <span class="n">k</span><span class="p">)</span>
	<span class="k">return</span> <span class="n">y_test</span>
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	<div class=" highlight hl-ipython3"><pre><span></span><span class="n">y_hat</span> <span class="o">=</span> <span class="n">knn_predict</span><span class="p">(</span><span class="n">X_train</span><span class="p">,</span> <span class="n">Y_train</span><span class="p">,</span> <span class="n">X_test</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
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	<div class=" highlight hl-ipython3"><pre><span></span><span class="n">y_test</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">argmax</span><span class="p">(</span><span class="n">Y_test</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span>
	<span class="n">np</span><span class="o">.</span><span class="n">sum</span><span class="p">((</span><span class="n">y_test</span> <span class="o">==</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">y_hat</span><span class="p">)))</span><span class="o">/</span><span class="n">y_test</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
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	<pre>0.7075098814229249</pre>
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	<div class=" highlight hl-ipython3"><pre><span></span><span class="n">avg_acc</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">sum</span><span class="p">(</span><span class="n">cm</span><span class="p">,</span> <span class="mi">0</span><span class="p">)</span>
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	<div class=" highlight hl-ipython3"><pre><span></span><span class="k">for</span> <span class="n">k</span> <span class="ow">in</span> <span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">6</span><span class="p">,</span> <span class="mi">10</span><span class="p">,</span> <span class="mi">30</span><span class="p">,</span> <span class="mi">60</span><span class="p">,</span> <span class="mi">100</span><span class="p">]:</span>
	<span class="n">y_hat</span> <span class="o">=</span> <span class="n">knn_predict</span><span class="p">(</span><span class="n">X_train</span><span class="p">,</span> <span class="n">Y_train</span><span class="p">,</span> <span class="n">X_test</span><span class="p">,</span> <span class="n">k</span><span class="p">)</span>
	<span class="n">cm</span> <span class="o">=</span> <span class="n">confusion</span><span class="p">(</span><span class="n">y_hat</span><span class="p">,</span> <span class="n">y_test</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">classes</span><span class="p">))</span>
	<span class="n">N</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="n">y_test</span><span class="p">)</span><span class="o">/</span><span class="mi">4</span>
	<span class="n">cax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">cm</span><span class="p">,</span> <span class="n">interpolation</span><span class="o">=</span><span class="s1">'nearest'</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="n">plt</span><span class="o">.</span><span class="n">cm</span><span class="o">.</span><span class="n">coolwarm</span><span class="p">,</span> <span class="n">vmin</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">vmax</span><span class="o">=</span><span class="n">N</span><span class="p">)</span>
	<span class="n">classNames</span> <span class="o">=</span> <span class="n">classes</span>
	<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s1">'Confusion Matrix k = '</span><span class="o">+</span><span class="nb">str</span><span class="p">(</span><span class="n">k</span><span class="p">))</span>
	<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s1">'True label'</span><span class="p">)</span>
	<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s1">'Predicted label'</span><span class="p">)</span>
	<span class="n">tick_marks</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">classNames</span><span class="p">))</span>
	<span class="n">plt</span><span class="o">.</span><span class="n">xticks</span><span class="p">(</span><span class="n">tick_marks</span><span class="p">,</span> <span class="n">classNames</span><span class="p">,</span> <span class="n">rotation</span><span class="o">=</span><span class="mi">45</span><span class="p">)</span>
	<span class="n">plt</span><span class="o">.</span><span class="n">yticks</span><span class="p">(</span><span class="n">tick_marks</span><span class="p">,</span> <span class="n">classNames</span><span class="p">)</span>
	<span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">e</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">cm</span><span class="p">):</span>
	<span class="k">for</span> <span class="n">j</span><span class="p">,</span> <span class="n">f</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">e</span><span class="p">):</span>
	<span class="n">plt</span><span class="o">.</span><span class="n">text</span><span class="p">(</span><span class="n">j</span><span class="p">,</span><span class="n">i</span><span class="p">,</span> <span class="nb">str</span><span class="p">(</span><span class="nb">int</span><span class="p">(</span><span class="n">cm</span><span class="p">[</span><span class="n">i</span><span class="p">][</span><span class="n">j</span><span class="p">])))</span>
	<span class="n">plt</span><span class="o">.</span><span class="n">colorbar</span><span class="p">(</span><span class="n">cax</span><span class="p">)</span>
	<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
	<span class="nb">print</span><span class="p">(</span><span class="s2">"Average accuracy: </span><span class="si">{:.4f}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">sum</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">diag</span><span class="p">(</span><span class="n">cm</span><span class="p">))</span><span class="o">/</span><span class="n">np</span><span class="o">.</span><span class="n">sum</span><span class="p">(</span><span class="n">cm</span><span class="p">)))</span>
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
	"
	>
	</div>

	</div>

	<div class="output_area">

	<div class="prompt"></div>


	<div class="output_subarea output_stream output_stdout output_text">
	<pre>Average accuracy: 0.6838
	</pre>
	</div>
	</div>

	<div class="output_area">

	<div class="prompt"></div>




	<div class="output_png output_subarea ">
	<img 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
	"
	>
	</div>

	</div>

	<div class="output_area">

	<div class="prompt"></div>


	<div class="output_subarea output_stream output_stdout output_text">
	<pre>Average accuracy: 0.6838
	</pre>
	</div>
	</div>

	<div class="output_area">

	<div class="prompt"></div>




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	<img 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
	"
	>
	</div>

	</div>

	<div class="output_area">

	<div class="prompt"></div>


	<div class="output_subarea output_stream output_stdout output_text">
	<pre>Average accuracy: 0.6957
	</pre>
	</div>
	</div>

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	<div class="prompt"></div>




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	<img 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
	"
	>
	</div>

	</div>

	<div class="output_area">

	<div class="prompt"></div>


	<div class="output_subarea output_stream output_stdout output_text">
	<pre>Average accuracy: 0.6917
	</pre>
	</div>
	</div>

	<div class="output_area">

	<div class="prompt"></div>




	<div class="output_png output_subarea ">
	<img 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
	"
	>
	</div>

	</div>

	<div class="output_area">

	<div class="prompt"></div>


	<div class="output_subarea output_stream output_stdout output_text">
	<pre>Average accuracy: 0.6640
	</pre>
	</div>
	</div>

	<div class="output_area">

	<div class="prompt"></div>




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	<img 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
	"
	>
	</div>

	</div>

	<div class="output_area">

	<div class="prompt"></div>


	<div class="output_subarea output_stream output_stdout output_text">
	<pre>Average accuracy: 0.6245
	</pre>
	</div>
	</div>

	<div class="output_area">

	<div class="prompt"></div>




	<div class="output_png output_subarea ">
	<img 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	<pre>Average accuracy: 0.5652
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	<p>Houve pouca variação na acurácia com a variação do número k, porém o melhor modelo entre os testados foi com k = 6 (acurácia média = 0.6957). Modelos com k muito pequeno podem generalizar mal por mapear apenas o ponto mais perto ou poucos pontos mais pertos, porém, um k muito grande gera um modelo com uma capacidade muito baixa de estimar as classes, por considerar muitos vizinhos.</p>
	<p>O mesmo efeito sobre as classes 'opel' e 'saab' pode ser observado.</p>
	<p>Em comparação com o modelo de regressão logística (acurácia média = 0.8024), o modelo knn se comportou com um desempenho menor para todos os k's testados. Neste modelo não há um treino propriamente dito, e mesmo levando em conta o tempo que demora para estimar, usa muito menos processamento do que para treinar os parâmetros da regressão logística.</p>

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